{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002095816,0.0003699616,0.0007227164,0.0001397956,0.0003393579,0.000300116,0.00162482,0.0002171098,0.001166379],"category_scores_gemma":[0.0006947979,0.0003534974,0.0001792394,0.0007447235,0.0003472721,0.0008698794,0.001199276,0.0004609433,0.001548859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009662855,"about_ca_system_score_gemma":0.0001757541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510423,"about_ca_topic_score_gemma":0.0004141396,"domain_scores_codex":[0.9962828,0.00009376291,0.0009831053,0.00155716,0.0001544245,0.0009288152],"domain_scores_gemma":[0.994864,0.0002086473,0.0003638987,0.004070058,0.0003264925,0.0001668314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003580643,0.001098707,0.877646,0.0008603731,0.0001724192,0.00001361407,0.009033397,0.0002006144,0.00003678142,0.07012982,0.03215578,0.008294402],"study_design_scores_gemma":[0.0009079492,0.0002462651,0.1359227,0.0000565907,0.00002109306,0.000004210251,0.0007457724,0.002052657,0.0001165653,0.03990375,0.8191695,0.0008529861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575139,0.0005676656,0.001208594,0.01615059,0.0009164519,0.002035487,0.0008599704,0.0001507228,0.02059661],"genre_scores_gemma":[0.9926206,0.0000310091,0.0004602346,0.003689962,0.000308956,0.00005198765,0.00007913235,0.00006198966,0.00269611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870137,"threshold_uncertainty_score":0.9998917,"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."}}