{"id":"W1589814626","doi":"10.1111/j.1540-5982.2008.00503.x","title":"Income effects and physician labour supply: evidence from the threshold system in Ontario","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Medical Association","funders":"","keywords":"Affect (linguistics); Demographic economics; Substitution effect; Economics; Inference; Labour economics; Public economics; Business; Psychology; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009615968,0.0002615395,0.000797005,0.0005201572,0.0002438472,0.0001082818,0.0005998984,0.0001554575,0.00006632348],"category_scores_gemma":[0.0001564027,0.0002889246,0.0001443835,0.0001395342,0.0001570818,0.0005576325,0.00004406685,0.0005487278,0.00005005145],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004306712,"about_ca_system_score_gemma":0.001376065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828264,"about_ca_topic_score_gemma":0.9995654,"domain_scores_codex":[0.9977011,0.00005005519,0.001119454,0.0004099955,0.00000239203,0.0007170116],"domain_scores_gemma":[0.9974926,0.000323388,0.0006937677,0.000464092,0.00004746738,0.0009786465],"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":[0.00001958471,0.000005373881,0.4629253,0.00006019399,0.00006803628,0.0002165309,0.003525611,0.0004799229,5.78811e-7,0.5322769,0.0001385874,0.0002834209],"study_design_scores_gemma":[0.001030728,0.0002578214,0.8242375,0.0007372743,0.00001832581,0.00022875,0.0005267667,0.0009060686,0.00001672685,0.1392706,0.03223059,0.0005389208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905794,0.002477427,0.00002197798,0.004164434,0.001154554,0.0003745631,0.0001751609,0.000005405913,0.001047037],"genre_scores_gemma":[0.9969336,0.0004326499,0.0001431152,0.001684322,0.0004318495,0.00002559998,0.00000489579,0.00003618936,0.0003077275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3930063,"threshold_uncertainty_score":0.9999563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518375625428971,"score_gpt":0.1900696439445615,"score_spread":0.03823208140166443,"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."}}