{"id":"W4411206987","doi":"10.4212/cjhp.3804","title":"Jack (and Jill) of All Trades","year":2025,"lang":"en","type":"editorial","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; History; Computer science","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":[0.01056387,0.003661756,0.003385013,0.005755548,0.004629103,0.0131018,0.003817244,0.01950907,0.04832493],"category_scores_gemma":[0.05158741,0.001235865,0.002645363,0.002081452,0.002571041,0.003732,0.002469528,0.01473577,0.02852134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006506633,"about_ca_system_score_gemma":0.01221676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303133,"about_ca_topic_score_gemma":0.04943296,"domain_scores_codex":[0.9880726,0.001454169,0.0008630265,0.0008924035,0.007976155,0.0007415987],"domain_scores_gemma":[0.959419,0.008913069,0.002373548,0.001134714,0.01971838,0.008441284],"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":[0.000009351079,0.000004613144,0.0000117849,0.00005246508,0.000005224815,0.0000395285,0.000005818722,0.000005058022,0.000009064924,0.0001129258,0.9972261,0.002518061],"study_design_scores_gemma":[0.00003337124,0.000008524045,0.0001173048,0.0002108494,0.0000221776,0.00006948626,0.00003982041,0.00004016351,0.00002026476,0.0002693306,0.9991577,0.00001103651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002248203,0.004982589,0.00004511807,0.04600016,0.9441778,0.0000220087,0.00003650604,0.00004056638,0.004672793],"genre_scores_gemma":[0.000646245,0.005256955,0.0001199184,0.04374864,0.8959327,0.00004166453,0.00004871983,0.00005787731,0.05414726],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04832493,"threshold_uncertainty_score":0.1616629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303188767635662,"score_gpt":0.3340493577596448,"score_spread":0.3210174700832882,"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."}}