{"id":"W4321368417","doi":"10.1016/j.acra.2023.01.028","title":"The Intersection of Diversity and Well-Being","year":2023,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Intersection (aeronautics); Diversity (politics); Geography; Sociology; Cartography; Anthropology","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":[0.002739792,0.0002196918,0.0004843289,0.001938932,0.003134051,0.005367897,0.0005062688,0.001163671,0.005013047],"category_scores_gemma":[0.006322544,0.0001509472,0.0002852369,0.00166578,0.009828111,0.002632922,0.005182359,0.001865087,0.0001436603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448469,"about_ca_system_score_gemma":0.002085529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005413743,"about_ca_topic_score_gemma":0.009635349,"domain_scores_codex":[0.9959781,0.002537448,0.00008083525,0.0002186385,0.0004035261,0.0007813749],"domain_scores_gemma":[0.9924937,0.00408146,0.000878013,0.0002778793,0.0005393172,0.001729599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002413149,0.000468157,0.241087,0.0003066108,0.0002885134,0.0008374652,0.06734034,0.0008184848,0.0006469319,0.5779139,0.004375418,0.1056759],"study_design_scores_gemma":[0.00002340757,0.0002108715,0.3471342,0.0006453178,0.00009813115,0.000697725,0.1346789,0.0007727422,0.0002927907,0.4811884,0.03417456,0.00008281206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7532402,0.01491839,0.002526727,0.05578773,0.0003687102,0.00001619392,0.0001922787,0.00001122279,0.1729385],"genre_scores_gemma":[0.9980993,0.0009664258,0.0001013397,0.0003110008,0.00008850835,0.000003792743,0.000008050998,0.000001873527,0.0004197388],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.005413743,"threshold_uncertainty_score":0.0167703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09089076824027756,"score_gpt":0.3163169466724441,"score_spread":0.2254261784321665,"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."}}