{"id":"W4387409582","doi":"10.1186/s12909-023-04712-4","title":"Academic pharmacist competencies in ordinary and emergency situations: content validation and pilot description in Lebanese academia","year":2023,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Preparedness; Snowball sampling; Medical education; Context (archaeology); Medicine; Pharmacy; Pharmacist; Nursing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002029591,0.0001645125,0.000260292,0.000854679,0.00009285821,0.00001463557,0.0001004928,0.0003548952,0.0002856233],"category_scores_gemma":[0.008535709,0.0001602622,0.00002472491,0.001641768,0.0001768783,0.0003698313,0.00005877212,0.001056249,0.00005317446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827261,"about_ca_system_score_gemma":0.00126855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002343631,"about_ca_topic_score_gemma":0.0001173077,"domain_scores_codex":[0.9976422,0.0001787952,0.0008425391,0.0003863471,0.0006676652,0.0002824603],"domain_scores_gemma":[0.9991468,0.0001797216,0.0001492606,0.0001643716,0.0001852006,0.0001747116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001932172,0.0006603351,0.8577367,0.0008173341,0.00001439752,0.000005204413,0.003090643,0.000008642231,0.005435151,0.002985149,0.01908256,0.1099706],"study_design_scores_gemma":[0.00206131,0.0001429077,0.9734803,0.000854947,0.00004610115,0.00009849678,0.004998086,0.01259421,0.0001263981,0.0036248,0.001763212,0.0002091661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797013,0.001109407,0.0005052683,0.01655139,0.001132253,0.0007505015,0.000001602453,0.00008482481,0.0001634614],"genre_scores_gemma":[0.9891162,0.00578212,0.00171744,0.001435816,0.0003871496,0.0004104017,0.00046586,0.00002149867,0.0006635232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1157436,"threshold_uncertainty_score":0.9998158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587611124556781,"score_gpt":0.4175464753472463,"score_spread":0.2587853628915682,"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."}}