{"id":"W7103233560","doi":"","title":"<i> An Intersectional Approach to Homelessness: Discrimination and Criminalization <i>","year":2017,"lang":"","type":"article","venue":"","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminalization; Intersectionality; Legislation; Immutability; Common ground; Race (biology); Racism; Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986792,0.0004187073,0.0003721267,0.00287834,0.01044023,0.009112827,0.001515231,0.002543226,0.005209182],"category_scores_gemma":[0.003367688,0.0001849079,0.0004742467,0.003573292,0.03919646,0.004214559,0.004684959,0.003740074,0.0003792974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02872973,"about_ca_system_score_gemma":0.01902791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4112773,"about_ca_topic_score_gemma":0.424919,"domain_scores_codex":[0.9971609,0.0010879,0.00007643324,0.0001771235,0.0008131894,0.0006844838],"domain_scores_gemma":[0.9983509,0.0007201027,0.0002051568,0.00009378404,0.0003811556,0.0002488788],"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":[0.000004436698,0.00001399845,0.001662648,0.00004591177,0.000003226123,0.0001288872,0.01387248,0.0001548035,0.00005774723,0.9571446,0.0139726,0.01293852],"study_design_scores_gemma":[0.000007192297,0.00003365817,0.01400078,0.0007478296,0.00001536102,0.0003801071,0.06939142,0.001798888,0.000331821,0.6388967,0.2743388,0.00005741803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05211863,0.02785275,0.01989453,0.235743,0.001413609,0.0001590315,0.0003108461,0.00006728362,0.6624404],"genre_scores_gemma":[0.8938889,0.01552065,0.007108769,0.01387207,0.0007995436,0.0002537698,0.00009939198,0.00005071312,0.06840634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4112773,"threshold_uncertainty_score":0.8177668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07808034760302615,"score_gpt":0.3771756279517215,"score_spread":0.2990952803486954,"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."}}