{"id":"W2120681256","doi":"10.4212/cjhp.v58i4.315","title":"Weathering Another “ Perfect Storm ” in Hospital Pharmacy","year":2005,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Crash; Pharmacy; Quality assurance; Crew; Medical emergency; Health care; Medicine; Minor (academic); Storm; Forensic engineering; Family medicine; Aeronautics; Engineering; Meteorology; Geography; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001146424,0.0001561684,0.0001938001,0.000788578,0.003411697,0.001503129,0.0003979998,0.001345022,0.009030818],"category_scores_gemma":[0.007325049,0.0002352818,0.0003440098,0.001459846,0.001354627,0.002461175,0.00271189,0.002896795,0.0008119622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003879428,"about_ca_system_score_gemma":0.00344087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04294021,"about_ca_topic_score_gemma":0.06966098,"domain_scores_codex":[0.9976801,0.0007645404,0.0001784146,0.0001435258,0.0005241016,0.0007093205],"domain_scores_gemma":[0.9948809,0.000617841,0.001541552,0.0002916164,0.0008146418,0.001853422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007038874,0.0003849335,0.5081055,0.0003872541,0.00008374206,0.008904899,0.013406,0.0006654366,0.0009409596,0.006694594,0.2819884,0.1777344],"study_design_scores_gemma":[0.00007466888,0.0003899401,0.7790296,0.0004404987,0.00003500515,0.009869518,0.04438367,0.0007413898,0.0004380593,0.004391312,0.1601342,0.00007214216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.75212,0.01196348,0.0007813574,0.1814616,0.004885599,0.00009886844,0.0008509458,0.000134973,0.04770314],"genre_scores_gemma":[0.9802071,0.003654012,0.0002174863,0.01129621,0.00204957,0.00001219035,0.0002713556,0.00002504525,0.00226693],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04294021,"threshold_uncertainty_score":0.08538049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970824809702262,"score_gpt":0.3817656322858463,"score_spread":0.3320573841888237,"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."}}