{"id":"W4410086205","doi":"10.1080/15323269.2025.2501884","title":"Empowering Medical Educators: Library Services’ Role in Advancing AI Literacy","year":2025,"lang":"en","type":"article","venue":"Journal of Hospital Librarianship","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian College of Naturopathic Medicine","funders":"","keywords":"Literacy; Medical library; Information literacy; Medical education; Medicine; Nursing; Psychology; Computer science; World Wide Web; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004500161,0.0001467365,0.0003686221,0.000551048,0.00005745052,0.0001465715,0.0002898846,0.0002015841,0.0004841447],"category_scores_gemma":[0.0004581241,0.0001270973,0.0001376426,0.0007059922,0.00003926045,0.002537303,0.00006822847,0.0008811753,0.00002134751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008725888,"about_ca_system_score_gemma":0.002065754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006715766,"about_ca_topic_score_gemma":0.000006799635,"domain_scores_codex":[0.9980271,0.00007812453,0.001020222,0.0001766102,0.000375143,0.0003227949],"domain_scores_gemma":[0.9987819,0.0002698082,0.0002285285,0.000211484,0.0001350921,0.0003731938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002852963,0.0006205678,0.9116876,0.0004326189,0.00004128935,0.000235002,0.006736039,0.000007959415,0.00007346839,0.00167321,0.004152806,0.07405413],"study_design_scores_gemma":[0.001343818,0.003702128,0.6597601,0.02282752,0.0001968721,0.0005031992,0.05349637,0.002031769,0.02912438,0.09834856,0.1277691,0.0008961945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348736,0.003159188,0.0001121382,0.05356871,0.002647996,0.0001709779,0.000001172703,0.00003052531,0.005435695],"genre_scores_gemma":[0.989992,0.000246758,0.001218142,0.00677139,0.001324206,0.000005470459,0.000008193848,0.00002330282,0.0004105759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519275,"threshold_uncertainty_score":0.5301045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496091215863301,"score_gpt":0.376085410775411,"score_spread":0.361124498616778,"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."}}