{"id":"W3118291440","doi":"10.1111/medu.14451","title":"Particularising 'experiences': Naming whiteness in the academy","year":2021,"lang":"en","type":"article","venue":"Medical Education","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Psychology; Medical education; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01567342,0.0006650945,0.0005821607,0.002400261,0.01219208,0.008988686,0.001746901,0.004045443,0.002543266],"category_scores_gemma":[0.02531346,0.0004595713,0.0006077798,0.001422472,0.037445,0.01231784,0.0121495,0.009300557,0.0004327146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003319328,"about_ca_system_score_gemma":0.004044926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199154,"about_ca_topic_score_gemma":0.02318774,"domain_scores_codex":[0.9853887,0.01132264,0.0004421456,0.0005554613,0.001221269,0.001069714],"domain_scores_gemma":[0.9891149,0.006663536,0.001292856,0.0006548965,0.0008301913,0.00144356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001954589,0.00001120193,0.002507509,0.00009875755,0.00001527525,0.0009366045,0.9662167,0.00001933506,0.0005230336,0.01503151,0.007337197,0.007283258],"study_design_scores_gemma":[0.000006653938,0.00002638813,0.002110012,0.0003917377,0.00001156105,0.002121573,0.9149704,0.00004270361,0.0003352562,0.007369912,0.07257975,0.00003398196],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5761518,0.01798237,0.01129409,0.2667999,0.0122593,0.00007209414,0.0001184159,0.0001685663,0.1151535],"genre_scores_gemma":[0.9508709,0.00390078,0.001376968,0.03690381,0.001388701,0.0000557441,0.00002819647,0.0001233607,0.005351613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9878079,"threshold_uncertainty_score":0.08288991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489332680096215,"score_gpt":0.3740608354081967,"score_spread":0.3491675086072346,"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."}}