{"id":"W3114566375","doi":"10.1177/0020731420981857","title":"Toward an Intersectional Approach to Health Justice","year":2020,"lang":"en","type":"article","venue":"International Journal of Health Services","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Injustice; Health equity; Misrepresentation; Sociology; Public health; Politics; Economic Justice; Redistribution (election); Political science; Health care; Medicine; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802206,0.0001850752,0.0005147489,0.000336471,0.00072683,0.00004071902,0.0009553011,0.0001173041,0.0003077814],"category_scores_gemma":[0.0001015205,0.0001729469,0.0001130324,0.0003096481,0.00002554343,0.0006391244,0.0001831455,0.0009212077,0.0002073033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005690615,"about_ca_system_score_gemma":0.001673146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522037,"about_ca_topic_score_gemma":0.000323322,"domain_scores_codex":[0.9954728,0.0007829883,0.001940763,0.000291094,0.0009823152,0.0005299638],"domain_scores_gemma":[0.9957402,0.0001701867,0.001617669,0.0001461567,0.001182974,0.001142756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003257932,0.001853633,0.02632753,0.01172845,0.0006084155,0.00004458505,0.7677191,0.00815531,0.00005225158,0.07003948,0.08714064,0.02307267],"study_design_scores_gemma":[0.005227125,0.004764097,0.08534563,0.002707652,0.00007559259,0.0001770666,0.2525827,0.01282821,0.00000607836,0.002786281,0.6328386,0.0006609483],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2100377,0.002361679,0.04028114,0.7169235,0.01908735,0.002244515,0.0005165606,0.0002740513,0.008273451],"genre_scores_gemma":[0.8106446,0.0002036373,0.01089569,0.1750432,0.003061368,0.00001586809,0.00008085466,0.0000246647,0.00003006934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6006069,"threshold_uncertainty_score":0.7052571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2818312364078439,"score_gpt":0.5025055263433644,"score_spread":0.2206742899355206,"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."}}