{"id":"W3036470565","doi":"10.1016/j.gaceta.2020.06.002","title":"COVID-19 en migrantes y minorías étnicas","year":2020,"lang":"es","type":"article","venue":"Gaceta Sanitaria","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Refugee; Residence; Ethnic group; Vulnerability (computing); Health equity; Political science; Social exclusion; Deportation; Coronavirus disease 2019 (COVID-19); Environmental health; Geography; Economic growth; Socioeconomics; Immigration; Medicine; Public health; Sociology; Demography; Disease; Nursing; Infectious disease (medical specialty)","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":[0.002005876,0.0004856261,0.0004408119,0.00153944,0.00201651,0.001454288,0.0006473178,0.001007621,0.008121935],"category_scores_gemma":[0.006000585,0.0002561141,0.0005577006,0.001967153,0.001030432,0.001045593,0.002332409,0.001399045,0.0007496832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194716,"about_ca_system_score_gemma":0.003408272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1060494,"about_ca_topic_score_gemma":0.09188303,"domain_scores_codex":[0.9985865,0.000460167,0.0001303874,0.0002332978,0.0002433737,0.0003464035],"domain_scores_gemma":[0.9971794,0.0004604044,0.0009272965,0.000158882,0.0006933301,0.0005806566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009706084,0.0002582961,0.6873013,0.004051954,0.0002598251,0.002333679,0.02868241,0.0001959516,0.001988714,0.008210956,0.04457826,0.2211679],"study_design_scores_gemma":[0.00006109198,0.0005836975,0.6740736,0.006154943,0.0002198572,0.002447321,0.03252564,0.0001436606,0.001015519,0.001650033,0.281051,0.00007371292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.775183,0.09661392,0.00254176,0.02799324,0.002126212,0.0004734932,0.01357357,0.0001596584,0.08133516],"genre_scores_gemma":[0.8967614,0.06123593,0.002816423,0.005104764,0.0009502298,0.0005294548,0.006545402,0.00007566754,0.02598071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060494,"threshold_uncertainty_score":0.2108643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04987211265726108,"score_gpt":0.3514086728562411,"score_spread":0.30153656019898,"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."}}