{"id":"W2407333414","doi":"","title":"Pulse: Net earnings for FPs, specialists","year":2002,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Net income; Earnings; Fee-for-service; Overhead (engineering); Service (business); Medicine; Business; Finance; Health care; Computer science; Economics; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004934914,0.0002627584,0.0001991235,0.002492554,0.000676721,0.001370247,0.0005858559,0.0005351989,0.09624227],"category_scores_gemma":[0.005221285,0.000149905,0.0001325719,0.00205206,0.000165573,0.0007615787,0.0005229372,0.0008339317,0.03157217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024937,"about_ca_system_score_gemma":0.002977284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1024469,"about_ca_topic_score_gemma":0.1315312,"domain_scores_codex":[0.999184,0.00003604533,0.00003359388,0.00005110812,0.0005769831,0.0001183051],"domain_scores_gemma":[0.9968388,0.0002617878,0.0002103933,0.00009981038,0.002096794,0.0004922927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005673481,0.00002059189,0.006028798,0.00004005647,0.000002312127,0.00002012584,0.00003185498,0.00005050307,0.00003811928,0.00125948,0.9412209,0.05123046],"study_design_scores_gemma":[0.00004762998,0.00004726969,0.1229643,0.00009699915,0.000009215819,0.0001763373,0.000302203,0.0003883836,0.0003264303,0.001146123,0.8744795,0.00001555933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02184542,0.002221974,0.0009800099,0.02584677,0.004845385,0.0002587854,0.2681742,0.001640854,0.6741866],"genre_scores_gemma":[0.1607204,0.003003661,0.001560715,0.00394326,0.00218988,0.0002558337,0.1265784,0.0002691169,0.7014788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8975531,"threshold_uncertainty_score":0.3219625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549986811655749,"score_gpt":0.2460537827032549,"score_spread":0.2105539145866974,"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."}}