{"id":"W4400955040","doi":"10.3233/shti240203","title":"Integrating Justice, Equity, Diversity, Inclusion & Indigeneity into an Informatics Curriculum","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Usability; Inclusion (mineral); Health equity; Equity (law); Curriculum; Medical education; Library science; Public relations; Sociology; Health care; Computer science; Psychology; Political science; Medicine; Social science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01364046,0.0004692915,0.000474268,0.001315517,0.00869045,0.00780918,0.001982971,0.003374833,0.003568327],"category_scores_gemma":[0.01591293,0.0003481489,0.0005454981,0.0008947048,0.009127629,0.004864707,0.01576419,0.006563581,0.0007115453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004854325,"about_ca_system_score_gemma":0.02063717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777264,"about_ca_topic_score_gemma":0.00484532,"domain_scores_codex":[0.9831871,0.009878595,0.0005609892,0.0008128918,0.00320458,0.002355909],"domain_scores_gemma":[0.9785352,0.009648445,0.001604507,0.001531188,0.001982241,0.006698322],"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":[0.00009374057,0.007506476,0.03441562,0.00142258,0.00002617977,0.004781754,0.331035,0.001886002,0.00795923,0.1892641,0.01574062,0.4058687],"study_design_scores_gemma":[0.00007902562,0.002202436,0.03336012,0.002554783,0.00005797888,0.004999925,0.2711602,0.006077813,0.01120506,0.1306722,0.537411,0.0002194445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6701994,0.001046416,0.1103089,0.04378504,0.0007014681,0.001678786,0.00004470625,0.0004424201,0.1717929],"genre_scores_gemma":[0.9177903,0.0004415146,0.06334706,0.004150877,0.0001137813,0.0006170563,0.00003270559,0.00005373063,0.01345303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01364046,"threshold_uncertainty_score":0.07213855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194804448541942,"score_gpt":0.5189977627650852,"score_spread":0.399517317910891,"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."}}