{"id":"W2320582409","doi":"10.18773/austprescr.2002.125","title":"Cost-effective prescribing: trying to hit the target in Ontario and Australia","year":2002,"lang":"en","type":"article","venue":"Australian Prescriber","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.002820363,0.0002673051,0.0004954989,0.0009775963,0.003142333,0.002536521,0.001136695,0.002309097,0.002326133],"category_scores_gemma":[0.0161677,0.0002882421,0.0004196759,0.003533114,0.001638484,0.001983125,0.00144016,0.001668845,0.0001302261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08392781,"about_ca_system_score_gemma":0.1105539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9827883,"about_ca_topic_score_gemma":0.9929975,"domain_scores_codex":[0.9951277,0.0009628697,0.0002412057,0.0001676114,0.002043922,0.001456711],"domain_scores_gemma":[0.9890264,0.001385346,0.001535894,0.0002034349,0.003213104,0.004635811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00161068,0.0007724283,0.5279547,0.002053188,0.0005532861,0.00218191,0.01936132,0.007283092,0.001089971,0.04150391,0.1340435,0.261592],"study_design_scores_gemma":[0.0002522894,0.0002987614,0.930059,0.0008486901,0.0002187552,0.0003433948,0.00972392,0.006105725,0.0001940416,0.006281616,0.0455595,0.0001143972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7065903,0.01627374,0.000620613,0.2455636,0.0002977118,0.0002347105,0.001278326,0.00003281646,0.02910821],"genre_scores_gemma":[0.9804222,0.006560674,0.00111858,0.007054338,0.0001542456,0.00008060364,0.0003121232,0.00001394848,0.004283261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9827883,"threshold_uncertainty_score":0.6089417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5357369556416736,"score_gpt":0.4180743247887509,"score_spread":0.1176626308529227,"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."}}