{"id":"W4311864484","doi":"10.1093/bjsw/bcac224","title":"Negative Social Interactions at the Intersection of Gender, Race and Immigration Status in Canada","year":2022,"lang":"en","type":"article","venue":"The British Journal of Social Work","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Race (biology); Intersectionality; Logistic regression; Ethnic group; Mental health; Demography; Psychology; Gerontology; Sociology; Medicine; Gender studies; Geography","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":[0.001465605,0.0002828101,0.0005636147,0.001487282,0.009309982,0.002653631,0.001102625,0.0004514393,0.003302919],"category_scores_gemma":[0.00334809,0.0003373555,0.0004569963,0.002705421,0.002555621,0.0006836629,0.003803542,0.001051755,0.000157525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02605096,"about_ca_system_score_gemma":0.04513149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883278,"about_ca_topic_score_gemma":0.995926,"domain_scores_codex":[0.9981108,0.0003487824,0.00005091009,0.0001228743,0.0004766753,0.0008899919],"domain_scores_gemma":[0.9971203,0.0004096018,0.0006165107,0.00006605707,0.0007475328,0.001039973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000113375,0.00007826303,0.9350929,0.00005235988,0.00004489294,0.0002795171,0.04883994,0.0001015738,0.0001975958,0.0004169012,0.00142633,0.01335645],"study_design_scores_gemma":[0.000003963924,0.00002871767,0.9127519,0.00009541157,0.00001482274,0.00007411707,0.08470678,0.0001830782,0.00005211993,0.0001072205,0.001955265,0.00002660888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966019,0.0003079531,0.00003505736,0.0004056442,0.00000963466,0.00001320042,0.0002560483,0.000002544334,0.002367963],"genre_scores_gemma":[0.9989723,0.0002197237,0.000048865,0.00005865417,0.000002900051,0.000007497151,0.0000891021,0.000001652661,0.0005994173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02605096,"threshold_uncertainty_score":0.1890138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085934641196426,"score_gpt":0.347106046964111,"score_spread":0.3162467005521468,"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."}}