{"id":"W3037417135","doi":"10.1503/cmaj.200834","title":"COVID-19 and people experiencing homelessness: challenges and mitigation strategies","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Public Health Ontario; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Poverty; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Disease; Infectious disease (medical specialty); Medicine; Virology; Economic growth; Pathology; Economics; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005235326,0.0009248992,0.001207071,0.002026021,0.006460872,0.006328556,0.003285162,0.005204517,0.02397987],"category_scores_gemma":[0.01660706,0.0004476571,0.001470674,0.001304228,0.00264128,0.005532312,0.01296023,0.009806246,0.002306078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004527808,"about_ca_system_score_gemma":0.04009246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05074083,"about_ca_topic_score_gemma":0.1058831,"domain_scores_codex":[0.9965699,0.00131656,0.00017441,0.0002237305,0.0005277804,0.001187611],"domain_scores_gemma":[0.9912958,0.001686914,0.0007518224,0.0001426497,0.001365168,0.004757666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001506135,0.001372816,0.04563788,0.005933822,0.0003087744,0.001381342,0.01436758,0.0004641871,0.0002950063,0.03542907,0.4679052,0.4267538],"study_design_scores_gemma":[0.0002683998,0.001168458,0.07656603,0.0697946,0.000652339,0.001909213,0.2201578,0.00165744,0.0004329603,0.0983426,0.5286896,0.0003606048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01243077,0.06415426,0.001526337,0.8871363,0.005323347,0.0003453849,0.0006533012,0.0001125961,0.02831776],"genre_scores_gemma":[0.4031216,0.26871,0.01560044,0.2702742,0.02142512,0.002256535,0.00242569,0.000127112,0.01605919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05074083,"threshold_uncertainty_score":0.100891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296370930276768,"score_gpt":0.3583397845524019,"score_spread":0.3153760752496342,"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."}}