{"id":"W1986331963","doi":"10.3821/1913-701x(2007)140[359a:aoopa]2.0.co;2","title":"Agreement over Ontario professional allowances","year":2007,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agreement; Business; Political science; Linguistics; Philosophy","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":[0.01661563,0.000615023,0.0008569742,0.003127842,0.01961548,0.01150418,0.004289588,0.01905856,0.05126827],"category_scores_gemma":[0.03026142,0.001770335,0.001762267,0.003286597,0.003518543,0.002564088,0.005046702,0.01032094,0.007137584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09589657,"about_ca_system_score_gemma":0.3029589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9645371,"about_ca_topic_score_gemma":0.9819555,"domain_scores_codex":[0.967312,0.001827984,0.001425792,0.002049369,0.01817459,0.009210177],"domain_scores_gemma":[0.9587069,0.006233672,0.0007802009,0.001840684,0.02369557,0.008742993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002221832,0.0001249776,0.00655242,0.0002139963,0.00005656916,0.0007019286,0.004975191,0.000387961,0.001640852,0.08973046,0.8756133,0.01978008],"study_design_scores_gemma":[0.00004421863,0.00001911294,0.01230043,0.000113936,0.00001809836,0.00004612182,0.00123985,0.0001517289,0.0002690495,0.0009293805,0.9848177,0.00005032858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03555293,0.002424412,0.002485308,0.1898995,0.005171597,0.001459047,0.006155608,0.0006016335,0.7562501],"genre_scores_gemma":[0.0527531,0.0007000322,0.001841465,0.0394556,0.0004107276,0.0003606161,0.0008572345,0.0001451235,0.9034761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09589657,"threshold_uncertainty_score":0.6957816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0568905754679477,"score_gpt":0.3986336634873633,"score_spread":0.3417430880194156,"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."}}