{"id":"W7098256030","doi":"","title":"TO: Chief Information Officer; Statistical Submissions Coordinator and Uninsured Vehicles Coordinator Insurers Reporting Ontario Automobile Insurance Data","year":2001,"lang":"en","type":"article","venue":"","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Database transaction; Coding (social sciences); Transaction data; Underwriting; Respondent; Intermediary","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003659652,0.0002352565,0.0004732047,0.0002256392,0.00148896,0.00005753494,0.0003472454,0.0003154199,0.00116757],"category_scores_gemma":[0.007129764,0.0001954062,0.00002415232,0.0004547473,0.00008503111,0.001255625,0.0004039583,0.001072226,0.0003756619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003628066,"about_ca_system_score_gemma":0.001581818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01729675,"about_ca_topic_score_gemma":0.01440833,"domain_scores_codex":[0.995504,0.0002567618,0.00254751,0.0003510087,0.0005839571,0.0007567423],"domain_scores_gemma":[0.9960067,0.0007450529,0.001195396,0.0007511835,0.0003720441,0.0009296787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002509438,0.0000711454,0.8184247,0.0005359154,0.00002459474,0.00001268295,0.006872968,0.00002315998,0.00001623315,0.006367605,0.1235543,0.0438458],"study_design_scores_gemma":[0.000880597,0.0001041665,0.5864123,0.000253513,0.0000128525,0.000009475568,0.001666587,0.004266061,0.000003125012,0.0001269469,0.4060627,0.0002017307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558299,0.00003601789,0.012023,0.005191061,0.0009028674,0.001520617,0.0002844649,0.0004318353,0.02378021],"genre_scores_gemma":[0.9873584,0.00004908935,0.004565563,0.004796455,0.000120642,0.0001085187,0.0007971546,0.00001856155,0.002185653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2825084,"threshold_uncertainty_score":0.999811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1979058019902314,"score_gpt":0.438881790145452,"score_spread":0.2409759881552206,"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."}}