{"id":"W2965799153","doi":"10.1177/1715163519865738","title":"Pharmacy’s Trojan horse","year":2019,"lang":"de","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trojan horse; Pharmacy; Business; Computer security; Medicine; Computer science; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01022225,0.0007378243,0.0007990257,0.001984259,0.012048,0.01317684,0.001926557,0.01522034,0.05465909],"category_scores_gemma":[0.03149608,0.000677786,0.0009795214,0.001599406,0.01119943,0.007224852,0.006451295,0.02435287,0.01038785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01514661,"about_ca_system_score_gemma":0.05052777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2312178,"about_ca_topic_score_gemma":0.3337157,"domain_scores_codex":[0.9865794,0.001832821,0.0004423958,0.001247216,0.006888872,0.003009358],"domain_scores_gemma":[0.9658549,0.003685359,0.0008479669,0.002008857,0.01248547,0.01511743],"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":[0.00001998661,0.00002087364,0.0003618961,0.00002732539,0.00001074151,0.00008656968,0.0001782613,0.00004111623,0.00006068563,0.03377031,0.9429226,0.02249966],"study_design_scores_gemma":[0.00001465379,0.00001816939,0.0006414167,0.0001025853,0.000006130003,0.00008496025,0.0002471903,0.00005291254,0.00005340872,0.004995001,0.9937675,0.00001606144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009162949,0.00391642,0.0004199191,0.9047554,0.04274957,0.00001145744,0.00008413444,0.0001318759,0.04701492],"genre_scores_gemma":[0.04780354,0.005473395,0.001123304,0.7360723,0.01929123,0.00002931981,0.0001288068,0.0002119632,0.1898662],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2312178,"threshold_uncertainty_score":0.4597439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08945530860923306,"score_gpt":0.3409958032840027,"score_spread":0.2515404946747696,"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."}}