{"id":"W1995476068","doi":"10.1177/1715163513481555","title":"Key pharmacy indicators","year":2013,"lang":"fr","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Pharmacy; Key (lock); Process management; Business; Computer science; Medicine; Family medicine; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004343502,0.001129955,0.001111451,0.01810462,0.001362658,0.003538834,0.001917842,0.0009045545,0.07519948],"category_scores_gemma":[0.03892102,0.0003377066,0.001262009,0.02189911,0.0005324122,0.003032995,0.003217371,0.002317385,0.01888294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009360457,"about_ca_system_score_gemma":0.02399274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1075628,"about_ca_topic_score_gemma":0.1108411,"domain_scores_codex":[0.9846526,0.001618817,0.002552645,0.001155494,0.008220139,0.001800366],"domain_scores_gemma":[0.9533822,0.003890607,0.01074014,0.001439005,0.02453952,0.00600856],"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":[0.0004894119,0.0004483113,0.2853117,0.00273674,0.0001925779,0.0001562803,0.0005073356,0.001296192,0.0001756666,0.008613911,0.5238248,0.1762471],"study_design_scores_gemma":[0.00009760798,0.0002180947,0.5753108,0.0008321278,0.0000900306,0.0002668281,0.0007994714,0.001141368,0.0004358708,0.002025075,0.4186996,0.00008313076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04918392,0.002188848,0.003119712,0.00695519,0.0008441168,0.003437206,0.6231205,0.001400436,0.3097502],"genre_scores_gemma":[0.3797206,0.004346261,0.01148574,0.002385998,0.00110886,0.006467673,0.4489998,0.0004639884,0.1450211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1075628,"threshold_uncertainty_score":0.2515674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08701943737046693,"score_gpt":0.3428033177848705,"score_spread":0.2557838804144036,"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."}}