{"id":"W2946851153","doi":"10.3390/su11113091","title":"Making Visible the Invisible: Why Disability-Disaggregated Data is Vital to “Leave No-One Behind”","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fordham University; London School of Hygiene and Tropical Medicine","keywords":"Inclusion (mineral); Medical model of disability; Population; Sustainable development; Convention on the Rights of Persons with Disabilities; Psychology; Political science; Public relations; Convention; Sociology; Social psychology","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":[0.08733054,0.0007318622,0.001253266,0.004634414,0.006396255,0.02058091,0.004596871,0.006975432,0.01359],"category_scores_gemma":[0.2681299,0.0008762481,0.001177203,0.008338716,0.02549878,0.04332499,0.01485284,0.01204224,0.003011308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007885662,"about_ca_system_score_gemma":0.02150493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04552357,"about_ca_topic_score_gemma":0.03682872,"domain_scores_codex":[0.8919439,0.07431141,0.004745205,0.007082445,0.01773463,0.004182335],"domain_scores_gemma":[0.7052664,0.2240224,0.0102655,0.01937386,0.03408801,0.006983897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000191864,0.00009783222,0.02002397,0.002234292,0.0002105468,0.0005174028,0.03635015,0.0009656509,0.0003413798,0.527862,0.2952532,0.1159517],"study_design_scores_gemma":[0.00005779508,0.00005790238,0.007494744,0.007633478,0.00009492491,0.0004129412,0.02673685,0.001206675,0.000558908,0.3572832,0.5982936,0.0001690313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01735554,0.02413511,0.02254841,0.8788688,0.005017102,0.0001441998,0.004071317,0.0002175527,0.04764203],"genre_scores_gemma":[0.6143066,0.03583967,0.03115809,0.2889604,0.007100682,0.0006594455,0.006492443,0.001389547,0.01409299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08733054,"threshold_uncertainty_score":0.4618536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04863053158514354,"score_gpt":0.2827507865235263,"score_spread":0.2341202549383827,"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."}}