{"id":"W2973439025","doi":"10.1002/hec.3951","title":"Production of physician services under fee‐for‐service and blended fee‐for‐service: Evidence from Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Ottawa; Centre for Family Medicine; Institute for Clinical Evaluative Sciences; Western University","funders":"Canadian Institutes of Health Research","keywords":"Fee-for-service; Incentive; Service (business); Matching (statistics); Production (economics); Propensity score matching; Business; Actuarial science; Medicine; Health care; Marketing; Economics; 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":[0.0018778,0.0003191689,0.0004888041,0.001482103,0.002105827,0.001606899,0.001428553,0.0005021201,0.003933704],"category_scores_gemma":[0.0102723,0.0004049771,0.0006832276,0.005822027,0.00117799,0.0006575555,0.0009339405,0.0006359736,0.0002782214],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06121597,"about_ca_system_score_gemma":0.06173386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979457,"about_ca_topic_score_gemma":0.9987859,"domain_scores_codex":[0.9970489,0.0003554533,0.0002005985,0.0003576118,0.001232553,0.0008048174],"domain_scores_gemma":[0.9845176,0.002198835,0.005970239,0.0005299391,0.004036211,0.002747013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000369207,0.0001071348,0.971058,0.0002728489,0.0002281215,0.0001141128,0.002009755,0.001111035,0.0001600335,0.001347099,0.006692706,0.0165298],"study_design_scores_gemma":[0.00006027767,0.00002968362,0.9931325,0.00009728596,0.0000785702,0.00002377003,0.001582813,0.0007778899,0.00008134144,0.0001052474,0.004012205,0.00001837303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678112,0.004475872,0.0003860567,0.002806471,0.00003426412,0.00012539,0.01499028,0.00002294676,0.00934758],"genre_scores_gemma":[0.990813,0.001958789,0.0002873926,0.0003282603,0.00001266368,0.00003290211,0.003610571,0.00000643582,0.002949966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.938784,"threshold_uncertainty_score":0.444155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06325718344510493,"score_gpt":0.268062835238932,"score_spread":0.204805651793827,"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."}}