{"id":"W1919457607","doi":"10.1371/journal.pone.0136308","title":"Birth Outcomes of Latin Americans in Two Countries with Contrasting Immigration Admission Policies: Canada and Spain","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; St. Michael's Hospital; University of Toronto; Public Health Ontario; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Latin Americans; Demography; Odds ratio; Immigration; Medicine; Confidence interval; Birth weight; Premature birth; Low birth weight; Pregnancy; Geography; Gestational age; Political science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001558498,0.0005169287,0.0006966913,0.002350655,0.002138413,0.001613421,0.0009749538,0.0006803903,0.0008535067],"category_scores_gemma":[0.003464475,0.0003048916,0.0006244438,0.004806398,0.001277759,0.0004411383,0.001750491,0.000757508,0.0001169188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01169927,"about_ca_system_score_gemma":0.01202875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9480854,"about_ca_topic_score_gemma":0.9621078,"domain_scores_codex":[0.9990751,0.0001474047,0.00006093632,0.0001695411,0.0001783598,0.0003685358],"domain_scores_gemma":[0.9972372,0.0002850476,0.000810125,0.0001531716,0.0008323083,0.00068211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002704195,0.00004561802,0.9962687,0.00002035275,0.00009629533,0.0001570316,0.0007666699,0.00006617821,0.0001523651,0.0001205839,0.0002161354,0.001819541],"study_design_scores_gemma":[0.00002758103,0.00005066396,0.9945999,0.00005228282,0.00005603589,0.0001065143,0.004454852,0.0001209015,0.00008268728,0.00003543924,0.0003994766,0.00001359438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997934,0.0004212077,0.00004506898,0.0001088922,0.000008246902,0.00001691036,0.0008386473,0.000002304392,0.0006248279],"genre_scores_gemma":[0.9971727,0.000512653,0.0001191603,0.0001295039,0.000005559729,0.00002009238,0.001757984,0.000004301695,0.0002780441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05191463,"threshold_uncertainty_score":0.1044407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05167523084939347,"score_gpt":0.3061247823085524,"score_spread":0.254449551459159,"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."}}