{"id":"W3043759324","doi":"10.17269/s41997-020-00377-4","title":"Migrant sex workers left behind during COVID-19 pandemic","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Public Health","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Ontario Stroke Network","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Migrant workers; 2019-20 coronavirus outbreak; Left behind; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sex workers; Medicine; Virology; Demography; Economic growth; Sociology; Economics; Outbreak; Internal medicine; Population","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":[0.001354764,0.0003400558,0.0004601754,0.0005079146,0.009680652,0.002441743,0.0008834953,0.01777459,0.006627556],"category_scores_gemma":[0.005822869,0.0003837,0.0005361532,0.0004348464,0.001779871,0.001648858,0.002211913,0.01461877,0.001709074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005011464,"about_ca_system_score_gemma":0.01121243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1590096,"about_ca_topic_score_gemma":0.2726419,"domain_scores_codex":[0.9984735,0.0003224695,0.0001300145,0.000109536,0.0001922713,0.0007723661],"domain_scores_gemma":[0.9969884,0.0005759199,0.0002699815,0.00007945045,0.0005307462,0.001555452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000437769,0.0002854355,0.07769483,0.0002422605,0.00004926691,0.04404181,0.02373377,0.0001050075,0.0010466,0.005589467,0.8108686,0.03590516],"study_design_scores_gemma":[0.000287986,0.0006696617,0.09348761,0.00257587,0.000133736,0.01643251,0.1414977,0.0009113094,0.000692053,0.006776554,0.7363489,0.000186192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07477567,0.001720748,0.0001072184,0.8815354,0.01915757,0.00009331188,0.00039215,0.00003587394,0.02218214],"genre_scores_gemma":[0.2050591,0.002800784,0.0001825833,0.7281485,0.019188,0.0001164578,0.0001631243,0.00004464201,0.04429682],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8409904,"threshold_uncertainty_score":0.3161682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08506160321160525,"score_gpt":0.3356306705543426,"score_spread":0.2505690673427373,"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."}}