{"id":"W2483043008","doi":"","title":"Pénuries de médicaments : 10 ans de recul au Canada","year":2016,"lang":"fr","type":"article","venue":"","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Economic shortage; Art; Philosophy","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":[0.00135424,0.0004319665,0.0004692059,0.002737538,0.003851412,0.002880693,0.001304271,0.001005281,0.01294333],"category_scores_gemma":[0.004689931,0.0004355826,0.0006875061,0.005486443,0.00103664,0.0009305776,0.001406969,0.002338317,0.00134164],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05774004,"about_ca_system_score_gemma":0.09471894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919279,"about_ca_topic_score_gemma":0.9947832,"domain_scores_codex":[0.9967316,0.0001248801,0.0001358818,0.0002935273,0.001850734,0.0008633197],"domain_scores_gemma":[0.9921086,0.0003532422,0.001114729,0.00009608475,0.004670895,0.001656413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005143118,0.0002589544,0.7135538,0.001234307,0.0001810623,0.002034805,0.01511176,0.0004934472,0.001175974,0.003780205,0.09545339,0.166208],"study_design_scores_gemma":[0.00001847041,0.0001002415,0.8551783,0.001102058,0.00007668128,0.0004385748,0.01029672,0.0003069386,0.0003489438,0.0001949701,0.1318816,0.00005657203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803812,0.04260411,0.001576385,0.03132373,0.00162844,0.0006713401,0.05305067,0.0002924731,0.08847161],"genre_scores_gemma":[0.8629382,0.03073139,0.001714624,0.009369551,0.0004215749,0.0002409822,0.0140688,0.0001280898,0.08038691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.94226,"threshold_uncertainty_score":0.4189353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736077141760889,"score_gpt":0.2653573792023123,"score_spread":0.2279966077847034,"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."}}