{"id":"W7014261268","doi":"","title":"Performance measures. 2020: Quarter 2 (2020: Apr. 1 - 2020: Jun. 30)","year":2017,"lang":"en","type":"article","venue":"State Elections Enforcement Commission (State of Connecticut)","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Head (geology); Table (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003831741,0.001165473,0.0003638198,0.002589278,0.0006959603,0.002658617,0.0008847522,0.0006972167,0.07391835],"category_scores_gemma":[0.009819863,0.0003437125,0.000463455,0.002637611,0.0002026157,0.00117042,0.001026335,0.001237501,0.07825178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00279971,"about_ca_system_score_gemma":0.004627636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05519552,"about_ca_topic_score_gemma":0.04593122,"domain_scores_codex":[0.9983316,0.0001978135,0.000153791,0.0001102572,0.0009586848,0.0002479895],"domain_scores_gemma":[0.9917254,0.0003222387,0.00099714,0.000191592,0.005505498,0.001258111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005513544,0.00004253691,0.002499083,0.00009507988,0.000005553992,0.000003452771,0.00001354978,0.0001941862,0.00003727745,0.0006498349,0.9788835,0.01752078],"study_design_scores_gemma":[0.0001250632,0.000295246,0.1381247,0.0002860359,0.00002446034,0.00003543065,0.0002708831,0.001337243,0.0007163358,0.001092254,0.8576408,0.00005142515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008421164,0.001241149,0.001874337,0.009050812,0.002984901,0.0006169743,0.7810776,0.003150863,0.1915823],"genre_scores_gemma":[0.07745397,0.001447404,0.004551057,0.002864606,0.0009940455,0.001522967,0.6767212,0.0008405095,0.2336043],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07391835,"threshold_uncertainty_score":0.2472815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021421117471391,"score_gpt":0.4061984776171889,"score_spread":0.3040563658700497,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}