{"id":"W6923390050","doi":"10.1371/journal.pone.0263713.s002","title":"Ontario Health Insurance Plan (OHIP) billing codes.","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Healthcare Quality and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Health insurance; Health plan; Work (physics); Casualty insurance; Self-insurance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007046259,0.0002906687,0.0002449786,0.002162209,0.001992016,0.001140231,0.0008223483,0.0004595159,0.05934697],"category_scores_gemma":[0.007451349,0.0003231791,0.0005421286,0.004182587,0.0003127518,0.000371851,0.0007045916,0.0005918195,0.006065876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01883496,"about_ca_system_score_gemma":0.0476816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9605119,"about_ca_topic_score_gemma":0.9857524,"domain_scores_codex":[0.9982333,0.0001014262,0.0001034395,0.0001090475,0.001132181,0.0003206548],"domain_scores_gemma":[0.9921741,0.0005271395,0.000878934,0.0002478299,0.004599535,0.001572421],"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":[0.00005482068,0.00002210959,0.03898852,0.0001106517,0.00001640965,0.0000301403,0.0001739928,0.00009870142,0.000101566,0.001997104,0.9400211,0.0183848],"study_design_scores_gemma":[0.00007900543,0.00002942413,0.3831686,0.000224874,0.00003929567,0.00008592028,0.0004030061,0.0007352796,0.0001903765,0.0004688903,0.6145386,0.00003671271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03015933,0.001324438,0.0009526348,0.01177486,0.0005124636,0.0006268139,0.5254123,0.0006387653,0.4285983],"genre_scores_gemma":[0.3061074,0.003331278,0.004966482,0.006543199,0.0005036369,0.0007019057,0.3052038,0.0004561981,0.3721862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9605119,"threshold_uncertainty_score":0.1985354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3581380734447425,"score_gpt":0.4583686420248417,"score_spread":0.1002305685800992,"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."}}