curl --request GET \
  --url https://api.heybee.app/v1/experiments/{experiment_id}/graded-results \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.heybee.app/v1/experiments/{experiment_id}/graded-results"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.heybee.app/v1/experiments/{experiment_id}/graded-results', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.heybee.app/v1/experiments/{experiment_id}/graded-results",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.heybee.app/v1/experiments/{experiment_id}/graded-results"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.heybee.app/v1/experiments/{experiment_id}/graded-results")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.heybee.app/v1/experiments/{experiment_id}/graded-results")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "analysis_available": true,
  "computed_at": "2023-11-07T05:31:56Z",
  "candidates": [
    {
      "candidate_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "candidate_key": "<string>",
      "effect": 123,
      "normalized_score": 0.5,
      "candidate_label": "<string>",
      "confidence_interval": {
        "[0]": 123,
        "[1]": 123
      },
      "probability_best": 0.5
    }
  ],
  "criteria": [
    {
      "axis_key": "<string>",
      "critical": true,
      "cross_input_consistency": 0.5,
      "decision_passed": true,
      "eligible_input_count": 1,
      "expected_advantage": 123,
      "label": "<string>",
      "meaningful_margin": 0.5,
      "probability_best": 0.5,
      "weight": 123,
      "candidates": [
        {
          "candidate_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "candidate_key": "<string>",
          "effect": 123,
          "normalized_score": 0.5,
          "candidate_label": "<string>",
          "confidence_interval": {
            "[0]": 123,
            "[1]": 123
          },
          "probability_best": 0.5
        }
      ],
      "leader_candidate_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
    }
  ],
  "critical_criteria_passed": true,
  "decision_status": "<string>",
  "expected_advantage": 123,
  "low_absolute_quality": true,
  "meaningful_margin": 0.5,
  "optimization": {
    "held_out_count": 1,
    "observation_count": 1,
    "stability": 0.5,
    "baseline_mse": 1,
    "criteria": [
      {
        "axis_key": "<string>",
        "held_out_count": 1,
        "label": "<string>",
        "observation_count": 1,
        "stability": 0.5,
        "weight": 123,
        "baseline_mse": 1,
        "model_mse": 1,
        "parameters": [
          {
            "importance": 0.5,
            "parameter_name": "<string>",
            "parameter_type": "<string>",
            "effect": "<unknown>",
            "recommended_value": "<unknown>",
            "uncertainty": 1
          }
        ],
        "predictive_skill": 0
      }
    ],
    "model_mse": 1,
    "parameters": [
      {
        "importance": 0.5,
        "parameter_name": "<string>",
        "parameter_type": "<string>",
        "effect": "<unknown>",
        "recommended_value": "<unknown>",
        "uncertainty": 1
      }
    ],
    "predictive_skill": 0
  },
  "probability_best": 0.5,
  "reason": "<string>",
  "winner_candidate_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "winner_candidate_key": "<string>",
  "winner_candidate_label": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}