{"id":"W4210653600","doi":"10.17269/s41997-021-00569-6","title":"Quarantots, quarankids, and quaranteens: how research can contribute to mitigating the deleterious impacts of the COVID-19 pandemic on health behaviours and social inequalities while achieving sustainable change","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Inequality; Virology; Environmental planning; Geography; Biology; Medicine; Outbreak; Mathematics; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02072145,0.0008349582,0.001430055,0.002072546,0.0059322,0.009988807,0.003310587,0.006468477,0.02342981],"category_scores_gemma":[0.05672013,0.0005947602,0.001376167,0.001762472,0.01278435,0.01596202,0.008466933,0.009656955,0.001168627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007959457,"about_ca_system_score_gemma":0.0622021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07549014,"about_ca_topic_score_gemma":0.2069308,"domain_scores_codex":[0.9876386,0.007787864,0.0004237206,0.0007458687,0.001565082,0.001838912],"domain_scores_gemma":[0.9738013,0.01307617,0.002354586,0.001260591,0.003829923,0.005677429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004929342,0.0008598999,0.03742332,0.005112036,0.0004972082,0.0007815398,0.02136388,0.001041424,0.0007968353,0.3136154,0.1663368,0.4516787],"study_design_scores_gemma":[0.0001923984,0.0006640803,0.0274148,0.02235736,0.0005916099,0.0003039761,0.07722688,0.001004408,0.0009190022,0.407288,0.4618216,0.0002158326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01729511,0.0659887,0.003863514,0.8752315,0.006032761,0.0001516247,0.0005089451,0.00008320162,0.03084471],"genre_scores_gemma":[0.5973879,0.1644258,0.02432055,0.1905333,0.004804352,0.0007698557,0.0006810405,0.0001694158,0.01690792],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07549014,"threshold_uncertainty_score":0.1501015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2591790259514867,"score_gpt":0.4233618973589982,"score_spread":0.1641828714075115,"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."}}