{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166969,0.0001957889,0.0005965768,0.0001696174,0.0008784749,0.00002590028,0.0002084311,0.00006490383,0.00006732851],"category_scores_gemma":[0.00007141113,0.0001516598,0.00002981231,0.0001862564,0.0001012598,0.00004885666,0.00002018655,0.000444865,0.000006222267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000730983,"about_ca_system_score_gemma":0.00449896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984381,"about_ca_topic_score_gemma":0.9989356,"domain_scores_codex":[0.9966734,0.001067388,0.0008301126,0.0003682083,0.0002814079,0.0007794976],"domain_scores_gemma":[0.9976359,0.0003415871,0.001013519,0.0005006492,0.00005776328,0.0004505978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01541839,0.0009781828,0.3978317,0.003248323,0.000188053,0.00001507022,0.1743081,0.0008666823,0.00000328006,0.01892752,0.2421983,0.1460164],"study_design_scores_gemma":[0.007957493,0.0008222034,0.9775596,0.0002178749,0.000003213795,0.00001522134,0.003884287,0.002435859,0.000002456564,0.000197485,0.006758702,0.0001455972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310963,0.0008076719,0.0001729125,0.06583671,0.0007077283,0.001168584,0.0001048766,0.00002034273,0.0000848952],"genre_scores_gemma":[0.9842197,0.001635618,0.00003881032,0.01364439,0.00007749412,0.00004848008,0.0001070248,0.0000204375,0.0002079886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5797279,"threshold_uncertainty_score":0.7980962,"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."}}