{"id":"W4318815864","doi":"10.3389/frwa.2023.1054182","title":"Human rights, COVID-19, and barriers to safe water and sanitation among people experiencing homelessness in Mexico City","year":2023,"lang":"en","type":"article","venue":"Frontiers in Water","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Waterloo; University of Toronto","funders":"Stockholm Environment Institute; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Sanitation; Dignity; Hygiene; Human rights; Pandemic; Public health; Environmental health; Universal design; Socioeconomics; Economic growth; Coronavirus disease 2019 (COVID-19); Political science; Business; Medicine; Sociology; Nursing; Infectious disease (medical specialty); Disease","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":[0.0009663766,0.0001589689,0.0003093734,0.0006500813,0.002707507,0.001415381,0.0003751869,0.0006569477,0.002109381],"category_scores_gemma":[0.002034325,0.0002289524,0.0002284287,0.0007875935,0.001831461,0.0011484,0.00215947,0.0009250102,0.00007127131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607893,"about_ca_system_score_gemma":0.001708168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07497628,"about_ca_topic_score_gemma":0.09612133,"domain_scores_codex":[0.9995727,0.0001215375,0.00002700435,0.00003125917,0.00005823919,0.0001892363],"domain_scores_gemma":[0.9992043,0.0001759664,0.0003080555,0.00002768996,0.00008391528,0.0002001986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000653382,0.0001901803,0.6077514,0.0002230992,0.00004355672,0.0009409849,0.3726579,0.0000553329,0.0006320906,0.0009257685,0.001779125,0.01473522],"study_design_scores_gemma":[0.000006719485,0.0001356416,0.4102438,0.00021284,0.00001930864,0.0002743538,0.5850005,0.00007213698,0.00006804118,0.0001322488,0.003819876,0.00001449917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984327,0.0001754133,0.00001837126,0.000715827,0.000007193425,0.00001038703,0.00003415587,7.976079e-7,0.000605267],"genre_scores_gemma":[0.9991044,0.000359752,0.00003168696,0.0002424382,0.000006742844,0.0000159544,0.00002633744,7.22551e-7,0.0002119026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07497628,"threshold_uncertainty_score":0.1490797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947394095413175,"score_gpt":0.3608710073881426,"score_spread":0.3313970664340108,"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."}}