{"id":"W2119006651","doi":"","title":"Ontario Generic Drug Wars, Part 4: Lessons for Medicare","year":2010,"lang":"en","type":"article","venue":"Insights (Essays)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drug; Business; Medicine; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000433352,0.0001874856,0.0003720438,0.0002016433,0.0002396035,0.00006709241,0.0003481038,0.0001593213,0.0007531083],"category_scores_gemma":[0.00009755364,0.0001910463,0.0001374759,0.0001489783,0.00006765882,0.0001781686,0.00008781674,0.0003359697,0.000559579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328557,"about_ca_system_score_gemma":0.0001176525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04048258,"about_ca_topic_score_gemma":0.2570592,"domain_scores_codex":[0.9984252,0.00001325932,0.0005607802,0.0004873257,0.00005771978,0.0004557109],"domain_scores_gemma":[0.9988964,0.00007795348,0.0002188293,0.0005407063,0.00004463322,0.0002214763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006602295,0.00006718756,0.001040536,0.00004919219,0.00004182441,0.000005661484,0.002702858,0.000003398329,0.00001223476,0.95644,0.03565428,0.00397619],"study_design_scores_gemma":[0.0003857556,0.00002452195,0.001803991,0.0000101106,0.000007214391,0.000001664305,0.00005623017,0.0001451341,0.000074807,0.1173912,0.8798722,0.0002271672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3431183,0.003155101,0.01348233,0.1154819,0.014799,0.002503237,0.0007068182,0.0003755646,0.5063778],"genre_scores_gemma":[0.9781082,0.0001526362,0.001376534,0.00302301,0.0008074404,0.0002416179,0.00007572766,0.00003578212,0.0161791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442179,"threshold_uncertainty_score":0.9659069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07703766426346666,"score_gpt":0.2744872080720103,"score_spread":0.1974495438085437,"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."}}