{"id":"W4401688102","doi":"10.1101/2024.08.16.24312144","title":"The effect of an incentive billing code on heart failure management in primary care: a population-based study","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Women's College Hospital; McMaster University; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Incentive; Primary care; Heart failure; Code (set theory); Population; Medicine; Business; Actuarial science; Family medicine; Nursing; Computer science; Internal medicine; Economics; Environmental health; Programming language; Microeconomics","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":[0.003480484,0.0003653428,0.0005344312,0.001323833,0.001148218,0.001645649,0.001282395,0.001740252,0.002284031],"category_scores_gemma":[0.01478865,0.0006426726,0.001724901,0.00272384,0.0009095598,0.001410974,0.001323045,0.001913164,0.0003316332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034608,"about_ca_system_score_gemma":0.001597048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06330534,"about_ca_topic_score_gemma":0.06704601,"domain_scores_codex":[0.994745,0.001813323,0.000516376,0.001008368,0.001175923,0.0007410072],"domain_scores_gemma":[0.9824238,0.004102289,0.008716815,0.001106843,0.001326322,0.002324007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005375,0.00007284983,0.9993554,0.000005528954,0.00007108331,0.00001714675,0.0000701001,0.000008795302,0.00001388292,0.000006906877,0.00007341734,0.0002044272],"study_design_scores_gemma":[0.00001012555,0.0001092264,0.9995592,0.000005030628,0.00002743691,0.00002740121,0.0001255359,0.00007120808,0.000003213469,0.00000603372,0.00005291836,0.000002649921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983724,0.0002782303,0.00004292975,0.000178869,0.00001931465,0.00002450371,0.0004820582,0.00000312829,0.000598619],"genre_scores_gemma":[0.9993549,0.00007737962,0.00003530976,0.00009368455,0.00002666566,0.00001851147,0.0002978987,0.000002141432,0.00009346198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06330534,"threshold_uncertainty_score":0.1258737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723927102023618,"score_gpt":0.287194196137549,"score_spread":0.2599549251173129,"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."}}