{"id":"W4415502949","doi":"10.1093/fampra/cmaf076","title":"Physician payment models and preventive cancer screening: a population-based retrospective cohort analysis from Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Family Practice","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; Manitoba Health; University of Ottawa; University of Manitoba; Western University","funders":"Institut canadien d'information sur la santé; Ministry of Long-Term Care; Ministry of Health, Uganda; Western Michigan University; International Council for the Exploration of the Sea; Western University; Schulich School of Medicine and Dentistry; Academic Medical Organization of Southwestern Ontario; Canadian Institutes of Health Research; Lawson Health Research Institute","keywords":"Capitation; Preventive care; Retrospective cohort study; Incentive; Primary care; Payment; Preventive healthcare; Health care; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178416,0.0005611358,0.0006542142,0.001558955,0.002996076,0.001774046,0.001712791,0.0007210806,0.002474623],"category_scores_gemma":[0.004366885,0.000815634,0.001439201,0.005778192,0.0007915206,0.0005949436,0.001078139,0.0009739334,0.0003668781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920916,"about_ca_system_score_gemma":0.03582264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899741,"about_ca_topic_score_gemma":0.991071,"domain_scores_codex":[0.9980713,0.0001983908,0.0001516905,0.0003865294,0.0006062198,0.0005860094],"domain_scores_gemma":[0.9954733,0.0003272477,0.001366125,0.0003938875,0.001700376,0.0007389465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003859457,0.00001563999,0.9981349,0.00001669518,0.00005715898,0.00003137285,0.0002269012,0.00004562965,0.00002956074,0.00003890399,0.0008096731,0.0005550303],"study_design_scores_gemma":[0.00001488407,0.00002406354,0.9977793,0.00003591844,0.00006512566,0.00005507349,0.0006054249,0.0004224979,0.00001758806,0.0000250332,0.0009445333,0.0000105417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981674,0.001271632,0.0003760908,0.0004443689,0.00002678352,0.0001281377,0.01458731,0.00002272543,0.001469019],"genre_scores_gemma":[0.993735,0.0005660373,0.0003155403,0.0001424223,0.0000114239,0.00006957343,0.004279649,0.00001280139,0.0008675965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02920916,"threshold_uncertainty_score":0.2119282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690087370063846,"score_gpt":0.3279107032988067,"score_spread":0.2910098295981682,"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."}}