{"id":"W7014370235","doi":"","title":"Performance measures. 3rd quarter. 2018: Jul. 1 to 2018: Sep. 30.","year":2018,"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":"Index (typography); Head (geology); Quarter (Canadian coin); Numbering","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":[0.002477445,0.001646128,0.0005591266,0.004053989,0.001182016,0.003194663,0.001275919,0.0007583527,0.2269041],"category_scores_gemma":[0.0108362,0.0004949928,0.00035725,0.004953182,0.0002513485,0.001623959,0.001227962,0.001328189,0.2690773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647171,"about_ca_system_score_gemma":0.003115706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03996725,"about_ca_topic_score_gemma":0.04910347,"domain_scores_codex":[0.9979014,0.00020171,0.000248341,0.0001987128,0.001157776,0.0002919666],"domain_scores_gemma":[0.9883952,0.0005762913,0.001030554,0.0003637311,0.008315909,0.001318313],"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":[0.00005527517,0.00004122529,0.001229296,0.00006087185,0.000001593524,0.000003521338,0.00001726279,0.00003727841,0.0000222385,0.0001491599,0.9874167,0.01096548],"study_design_scores_gemma":[0.0001197227,0.0002426487,0.114097,0.0004122404,0.000009783462,0.000032728,0.0004641812,0.0004142614,0.0004137339,0.000351924,0.8834085,0.00003332707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006470079,0.001248471,0.0007920003,0.004955795,0.00384536,0.0007729813,0.7415444,0.002138615,0.2382324],"genre_scores_gemma":[0.03106792,0.001244359,0.001026039,0.0009338708,0.001175093,0.001424156,0.3624426,0.000982379,0.5997037],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2269041,"threshold_uncertainty_score":0.7590698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341861337025698,"score_gpt":0.4126706520873997,"score_spread":0.2784845183848299,"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."}}