{"id":"W2518389866","doi":"10.12927/hcpol.2016.24758","title":"Financial Incentives and Cervical Cancer Screening Participation in Ontario’s Primary Care Practice Models","year":2016,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Western University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Remuneration; Medicine; Cervical cancer screening; Cervical cancer; Incentive; Marginal cost; Family medicine; Cancer screening; Primary care; Cervical screening; Fee-for-service; Capitation; Capitation fee; Payment; Cancer; Health care; Demography; Internal medicine; Finance; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428828,0.0001708419,0.000359664,0.0003751616,0.0001370602,0.00003513317,0.0001183368,0.0001533038,0.00003675022],"category_scores_gemma":[0.0002482498,0.0001673794,0.0000452003,0.000259708,0.00005624009,0.0006614087,0.0001302518,0.0002287159,0.00003023577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616157,"about_ca_system_score_gemma":0.0005743598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8496808,"about_ca_topic_score_gemma":0.6215922,"domain_scores_codex":[0.99808,0.00008905429,0.0006535522,0.0004868213,0.00007050212,0.0006200796],"domain_scores_gemma":[0.9991048,0.0001119903,0.0002595431,0.000247853,0.0000750684,0.0002007761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001016341,0.00005875424,0.09041587,0.0003084494,0.00001249583,0.00000677584,0.01058987,0.00003774525,0.000001504727,0.7998917,0.00006968194,0.09850559],"study_design_scores_gemma":[0.0014054,0.0001382839,0.7832736,0.0003482748,0.000006356674,0.00000285192,0.000368876,0.0002108125,0.00000905233,0.05779866,0.1560495,0.0003883797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969569,0.01254195,0.008255387,0.4471431,0.0006119917,0.001690318,0.0005465019,0.0001406233,0.03211324],"genre_scores_gemma":[0.9863395,0.00167613,0.0009163311,0.01024062,0.0002593328,0.0002050306,0.00001347633,0.00002284583,0.0003267273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.742093,"threshold_uncertainty_score":0.6825535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948157953358065,"score_gpt":0.3451969042909033,"score_spread":0.2503811089550968,"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."}}