{"id":"W4413565469","doi":"10.64628/aam.4e6v6mrtm","title":"Immigrant women are falling behind during the COVID-19 pandemic","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Falling (accident); Coronavirus disease 2019 (COVID-19); Pandemic; Immigration; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); History; Political science; Virology; Medicine; Law; Environmental health","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":[0.0006654752,0.0001870064,0.000243395,0.0006631264,0.002926157,0.003020585,0.0004176457,0.001655147,0.006415522],"category_scores_gemma":[0.003164449,0.0001399763,0.0002536957,0.001263476,0.0009494935,0.001435382,0.001976662,0.001922636,0.0009020503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007494072,"about_ca_system_score_gemma":0.001941311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05831108,"about_ca_topic_score_gemma":0.08637214,"domain_scores_codex":[0.9993891,0.0001330173,0.00001836692,0.00004038581,0.00004238605,0.000376733],"domain_scores_gemma":[0.9989635,0.000135203,0.0002807908,0.00003824802,0.000125095,0.0004572298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007428277,0.0002522911,0.7799397,0.0002450399,0.0001312734,0.001375577,0.1084701,0.0002930729,0.0008728384,0.00791347,0.03611742,0.06364647],"study_design_scores_gemma":[0.00002993453,0.0002419629,0.5871516,0.0004266812,0.00006541707,0.000322519,0.3755149,0.0002445126,0.0001358933,0.00233848,0.03347924,0.00004895262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774161,0.0009288528,0.00005256366,0.01115689,0.0003307385,0.00001369193,0.0004560025,0.000007022732,0.009638018],"genre_scores_gemma":[0.9934583,0.00104602,0.00004034565,0.001825865,0.0001480353,0.00001973613,0.0002805023,0.000006934473,0.003174261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05831108,"threshold_uncertainty_score":0.1159433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0556861618207472,"score_gpt":0.3307633231781567,"score_spread":0.2750771613574095,"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."}}