{"id":"W2753824168","doi":"10.1016/j.healthplace.2017.08.011","title":"Health of newly arrived immigrants in Canada and the United States: Differential selection on health","year":2017,"lang":"en","type":"article","venue":"Health & Place","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Columbia Population Research Center; National Institutes of Health; National Science Foundation","keywords":"Immigration; Overweight; Obesity; Health care; Demographic economics; Gerontology; Medicine; Selection (genetic algorithm); Environmental health; Demography; Political science; Economic growth; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006505588,0.0003944128,0.000510572,0.001883982,0.004897129,0.002220781,0.001274643,0.001271409,0.002918925],"category_scores_gemma":[0.002542204,0.0003479416,0.0007530248,0.00295158,0.001957812,0.0009402185,0.003127575,0.001711757,0.0002878488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008385892,"about_ca_system_score_gemma":0.01237911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9384299,"about_ca_topic_score_gemma":0.9742919,"domain_scores_codex":[0.9985065,0.000221701,0.00004946808,0.0001103634,0.0001686855,0.0009431789],"domain_scores_gemma":[0.9977767,0.0001601322,0.0003243803,0.00006918115,0.0005413326,0.001128332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001308076,0.00007887348,0.9936476,0.000007589251,0.00004504489,0.00009980673,0.002585226,0.00004962396,0.0001129465,0.0001491956,0.0004092053,0.002683969],"study_design_scores_gemma":[0.000005200791,0.00003521998,0.9812399,0.00002215848,0.00001515113,0.00004588376,0.01814153,0.0001061805,0.00003298479,0.00005647234,0.0002878061,0.00001158109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985109,0.0002223037,0.00001947502,0.0003413368,0.00001583095,0.000008890052,0.000200484,0.000001255107,0.000679603],"genre_scores_gemma":[0.9988926,0.0001695101,0.00001947397,0.0001415236,0.000007330987,0.000004231519,0.0002109857,0.000002010383,0.000552426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06157011,"threshold_uncertainty_score":0.1238654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204311832955609,"score_gpt":0.3287320502658252,"score_spread":0.3066889319362691,"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."}}