{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002310927,0.0003728899,0.0005526243,0.000560154,0.002602897,0.00003082545,0.0003867919,0.0001768662,0.004798662],"category_scores_gemma":[0.0006613766,0.0003206152,0.0001046241,0.0009261569,0.0001661419,0.0004102507,0.000128784,0.000881869,0.003079793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005519183,"about_ca_system_score_gemma":0.0009521349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007432913,"about_ca_topic_score_gemma":0.0002869422,"domain_scores_codex":[0.9951593,0.0004551083,0.001865355,0.0004165579,0.0009545315,0.001149131],"domain_scores_gemma":[0.9960873,0.0004691924,0.000713439,0.0007290045,0.001160444,0.0008406375],"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":[0.001446635,0.0002805746,0.004280032,0.001275191,0.0001716916,0.000002803198,0.02748,0.0009537544,0.002001366,0.001662197,0.8503609,0.1100848],"study_design_scores_gemma":[0.002061055,0.002886429,0.003259136,0.000910573,0.00005087216,0.000006533192,0.002237914,0.01153179,0.003593274,0.0005626232,0.9723934,0.0005064333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3446887,0.0001240899,0.1327424,0.006977054,0.007903351,0.005072822,0.0001332774,0.0009305979,0.5014277],"genre_scores_gemma":[0.9727185,0.0002264479,0.0008117952,0.001901149,0.0003726941,0.000253901,0.00004555553,0.00004731004,0.02362267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6280298,"threshold_uncertainty_score":0.9999246,"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."}}