{"id":"W4382314381","doi":"10.1016/j.ajpe.2023.100095","title":"Developing Research-Informed Guidance on Preparing Pharmacy Students to Care for Diverse Populations","year":2023,"lang":"en","type":"article","venue":"American Journal of Pharmaceutical Education","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph's Hospital; Dalhousie University","funders":"Dalhousie University","keywords":"Diversity (politics); Categorization; Psychology; Representation (politics); Conceptual framework; Medical education; Best practice; Data collection; Pedagogy; Sociology; Computer science; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001563197,0.00009056496,0.0001778186,0.0003659553,0.0009894408,0.00009763408,0.0005034619,0.00002002818,0.00002800541],"category_scores_gemma":[0.003152655,0.00008550528,0.00008241102,0.001542359,0.0001805985,0.0002797495,0.00007080849,0.0002817283,0.00006367389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493425,"about_ca_system_score_gemma":0.002444379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007775075,"about_ca_topic_score_gemma":0.0003955748,"domain_scores_codex":[0.9975619,0.0003262468,0.0004277895,0.0001652408,0.001038562,0.000480263],"domain_scores_gemma":[0.9969313,0.0006492249,0.0002133372,0.00009980319,0.001649357,0.0004569643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005034314,0.0001633187,0.04199747,0.0001728751,0.00005207349,0.000003660643,0.1844915,0.0006673353,0.0002820252,0.01921849,0.03852072,0.7139271],"study_design_scores_gemma":[0.0004958534,0.0003438647,0.02693612,0.000401383,0.00003577567,0.000003311417,0.2651222,0.0000707103,0.0003279356,0.0008003906,0.7052566,0.0002057796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785334,0.0001099813,0.0001523829,0.01565645,0.002850665,0.0009562843,0.000008993168,0.00005043872,0.001681437],"genre_scores_gemma":[0.9930579,0.0001991082,0.004158162,0.001232099,0.001053357,0.0000845796,0.000008343522,0.00001218783,0.0001942652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137213,"threshold_uncertainty_score":0.7610079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3784989487431344,"score_gpt":0.6413184626887397,"score_spread":0.2628195139456053,"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."}}