{"id":"W4417076441","doi":"10.1016/j.cptl.2025.102534","title":"Artificial intelligence in pharmacy education: A scoping review of current integration & global perceptions","year":2025,"lang":"en","type":"article","venue":"Currents in Pharmacy Teaching and Learning","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacy; Accreditation; Pharmacy practice; Perception; Quality (philosophy); MEDLINE; Multistate Pharmacy Jurisprudence Examination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001596598,0.0001562146,0.000316664,0.000317804,0.0002045055,0.0000262463,0.00009493763,0.00003202568,0.0001424394],"category_scores_gemma":[0.002032161,0.0001593565,0.00006108006,0.0006190715,0.00006955976,0.0001912296,0.00004433209,0.001427011,0.00001428382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251026,"about_ca_system_score_gemma":0.0007919283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009009342,"about_ca_topic_score_gemma":0.0001498222,"domain_scores_codex":[0.9977754,0.0005618145,0.0009315753,0.0003227557,0.000176945,0.0002315264],"domain_scores_gemma":[0.9992558,0.0002140065,0.0001680866,0.0001368256,0.0001368213,0.00008848737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004034649,0.000413227,0.1361821,0.005997442,0.000004153002,3.077225e-7,0.002274658,0.00004665093,0.0000994086,0.0005442149,0.0001307732,0.8542667],"study_design_scores_gemma":[0.0003651884,0.0001230403,0.01506476,0.9200229,0.0002972137,0.00004614509,0.01301888,0.02534083,0.001437232,0.004562411,0.01896006,0.0007613119],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984781,0.07788748,0.01521604,0.002865005,0.002440821,0.001301889,0.000002878933,0.0000599265,0.001747845],"genre_scores_gemma":[0.968517,0.02992284,0.0007651604,0.0003822608,0.0001939413,0.0000918737,0.00006977112,0.000007445584,0.00004968914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9140255,"threshold_uncertainty_score":0.649837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2353480372342026,"score_gpt":0.5758201091665903,"score_spread":0.3404720719323878,"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."}}