{"id":"W7071645501","doi":"","title":"146th Annual report of the Insurance Commissioner of Connecticut. 2018: Jan. 23.","year":2018,"lang":"en","type":"article","venue":"State Elections Enforcement Commission (State of Connecticut)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annual report; State (computer science); Head (geology); Web site; Payment; Government (linguistics); Revenue; Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006171078,0.0003462321,0.0007340607,0.0002712822,0.0003895274,0.00001500021,0.000327387,0.0000804778,0.0009355958],"category_scores_gemma":[0.000461749,0.0002403814,0.0003327038,0.0009837383,0.0005758661,0.000212467,0.0002058355,0.0003878992,0.00001173851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509476,"about_ca_system_score_gemma":0.0004319365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519625,"about_ca_topic_score_gemma":0.0001789717,"domain_scores_codex":[0.9966604,0.0001989052,0.001465231,0.0003925244,0.0008357986,0.0004471611],"domain_scores_gemma":[0.9959293,0.0002949772,0.001107486,0.001161989,0.001248484,0.0002577832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01360838,0.007272024,0.1194425,0.002296728,0.003692785,0.0003645617,0.01634734,0.001847341,0.3718388,0.007247664,0.4169293,0.03911261],"study_design_scores_gemma":[0.005697351,0.005376377,0.03308455,0.001164567,0.0004824372,0.001157354,0.002100266,0.0008357226,0.6428505,0.001255712,0.3053895,0.0006056612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539868,0.0002867156,0.001995421,0.002455673,0.00115406,0.001283304,0.0002515458,0.00008178192,0.03850466],"genre_scores_gemma":[0.987732,0.000117668,0.0004705326,0.000317062,0.00008480398,0.00002709217,0.00004709293,0.00004351471,0.01116021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2710117,"threshold_uncertainty_score":0.9999777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131335592330989,"score_gpt":0.2826205232565554,"score_spread":0.2694869640234565,"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."}}