{"id":"W1983189449","doi":"10.1016/j.jhealeco.2008.05.006","title":"Do physician remuneration schemes matter? The case of Canadian family physicians","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":147,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Ottawa","funders":"Health Canada; College of Family Physicians of Canada; Royal College of Physicians and Surgeons of Canada","keywords":"Remuneration; Incentive; Actuarial science; Business; Affect (linguistics); Selection (genetic algorithm); Demographic economics; Medicine; Economics; Psychology; Microeconomics; Finance; Computer science","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":[0.007865029,0.0003507549,0.00107148,0.001878364,0.0211893,0.008871385,0.003214288,0.01257368,0.009544201],"category_scores_gemma":[0.03657377,0.0004501956,0.0008805466,0.004390358,0.007857532,0.002509768,0.002105286,0.007919652,0.0003827058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1100672,"about_ca_system_score_gemma":0.1240281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864281,"about_ca_topic_score_gemma":0.9918282,"domain_scores_codex":[0.9889061,0.001609352,0.0001685839,0.0004058295,0.001737311,0.00717285],"domain_scores_gemma":[0.971248,0.01029005,0.002765563,0.0004668926,0.005773395,0.009456068],"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":[0.001326532,0.0007668497,0.2102886,0.0003186996,0.0003095473,0.01143081,0.04162227,0.006334416,0.0006339806,0.5083155,0.1566698,0.06198299],"study_design_scores_gemma":[0.001118354,0.0002829543,0.3905054,0.001285423,0.0007879317,0.002921352,0.2249761,0.01015959,0.0006646177,0.09317603,0.2735749,0.0005474266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4892979,0.008165525,0.0002367359,0.3725195,0.0002932107,0.00008643785,0.0006189438,0.00001424874,0.1287675],"genre_scores_gemma":[0.9809302,0.001863203,0.00009566153,0.01087581,0.0001482565,0.00001219625,0.00006474747,0.000006143923,0.006003701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100672,"threshold_uncertainty_score":0.7985969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08827571038588504,"score_gpt":0.2799792889880512,"score_spread":0.1917035786021661,"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."}}