{"id":"W4400126756","doi":"10.1080/02673037.2024.2366961","title":"Housing and mental health inequalities during COVID-19: the role of income and housing support measures","year":2024,"lang":"en","type":"article","venue":"Housing Studies","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Inequality; Mental health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demographic economics; Economics; Economic inequality; Psychology; Mathematics; Medicine; Psychiatry; Virology","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":[0.001682758,0.0002065278,0.0003664924,0.0008373376,0.001333233,0.001055039,0.0006589687,0.0004652361,0.00190848],"category_scores_gemma":[0.006190478,0.0002016534,0.0006028992,0.001508931,0.0006956361,0.001081983,0.003392234,0.00144116,0.0001725492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244556,"about_ca_system_score_gemma":0.002285659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2827489,"about_ca_topic_score_gemma":0.405757,"domain_scores_codex":[0.9986132,0.000520859,0.00007561917,0.0001297201,0.0001651687,0.0004954544],"domain_scores_gemma":[0.9978431,0.0003351692,0.0008833694,0.0001336493,0.0002825476,0.0005222044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007318034,0.00008353712,0.9871622,0.00006033336,0.00008737301,0.00007007735,0.002825971,0.0001020987,0.00006002184,0.0003229977,0.001062094,0.008090271],"study_design_scores_gemma":[0.000001283625,0.00002441484,0.9970263,0.00005264983,0.000009659265,0.00001226469,0.002138824,0.0001235672,0.00001359605,0.00004489194,0.0005496443,0.00000294746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939932,0.0009721408,0.0001303104,0.00159136,0.0000338617,0.00003403309,0.001225534,0.000002576754,0.002016944],"genre_scores_gemma":[0.9985865,0.0003048993,0.00008448568,0.0001337331,0.00001751975,0.00002775009,0.0005406349,0.000001758747,0.0003027136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2827489,"threshold_uncertainty_score":0.5622063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100661784367567,"score_gpt":0.4528942992204952,"score_spread":0.3522325148529282,"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."}}