{"id":"W4402221668","doi":"10.1177/2327857924131059","title":"Gaining Insights from Subject Matter Experts to Develop a Racially and Culturally Appropriate Study in the Greater Toronto Area","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Subject matter; Subject (documents); Sociology; Computer science; Library science; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01379075,0.0005462168,0.0003998585,0.002095515,0.01165224,0.004249891,0.0008473639,0.00115396,0.002818244],"category_scores_gemma":[0.009818353,0.0003773671,0.0002505921,0.001283431,0.003004327,0.002550629,0.004923436,0.001201574,0.0004548288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01058043,"about_ca_system_score_gemma":0.01829663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1807859,"about_ca_topic_score_gemma":0.431803,"domain_scores_codex":[0.9934328,0.004576997,0.0002070428,0.0003040272,0.000589521,0.0008896579],"domain_scores_gemma":[0.9930077,0.002862031,0.0005999159,0.0002909371,0.001617326,0.00162205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001774934,0.00003552153,0.008238653,0.0001202969,0.000003350445,0.000747693,0.9813855,0.00003482445,0.001719848,0.0005419877,0.0009163268,0.006238326],"study_design_scores_gemma":[0.000005264148,0.00004713437,0.007485342,0.0002158942,0.000006063829,0.0001141485,0.9750827,0.0001019162,0.0002973517,0.0002925495,0.01634268,0.000008880678],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807693,0.000649843,0.003541959,0.004708983,0.0001070814,0.000611514,0.0001119975,0.00001855561,0.009480672],"genre_scores_gemma":[0.9822365,0.001142904,0.008108788,0.001813189,0.00005960894,0.0006990915,0.0001032598,0.00003202947,0.005804711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8192141,"threshold_uncertainty_score":0.3594672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053016699172348,"score_gpt":0.3627939933768171,"score_spread":0.3122638263850936,"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."}}