{"id":"W2741345840","doi":"10.1186/s12889-017-4612-1","title":"The shrinking health advantage: unintentional injuries among children and youth from immigrant families","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Public Health Ontario; Hospital for Sick Children; York University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Residence; Poisson regression; Demography; Immigration; Biostatistics; Relative risk; Epidemiology; Population; Injury prevention; Poison control; Public health; Occupational safety and health; Gerontology; Pediatrics; Environmental health; Confidence interval; Internal medicine; Geography","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":[0.0005510193,0.0002753185,0.0002672577,0.0008069344,0.001040076,0.0007930573,0.0006431895,0.0005115984,0.001700855],"category_scores_gemma":[0.001447003,0.0001763176,0.0005479491,0.001487235,0.0006546645,0.0004290076,0.0009275904,0.0006225057,0.0000850399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619996,"about_ca_system_score_gemma":0.00382242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6058095,"about_ca_topic_score_gemma":0.7164498,"domain_scores_codex":[0.9996666,0.00003642168,0.00001825173,0.00005630792,0.00008541895,0.0001369779],"domain_scores_gemma":[0.9993523,0.00004452166,0.0003366707,0.00001884296,0.0000965095,0.0001512224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002128081,0.000009074868,0.9972695,0.00001828297,0.00002157913,0.0001614371,0.0003615785,0.00001874577,0.000029787,0.00004055064,0.0002717669,0.001776554],"study_design_scores_gemma":[0.000002050561,0.00001466911,0.9976414,0.00005609319,0.00001940841,0.0002001886,0.001728322,0.00004825621,0.00001355048,0.00002681384,0.0002461124,0.000003278469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973329,0.001087311,0.00003682057,0.0003582757,0.00001204227,0.00001078402,0.0005007532,0.000002311306,0.0006588073],"genre_scores_gemma":[0.998841,0.0006415156,0.00004467169,0.00008545118,0.00001083556,0.000006460201,0.0002285188,0.000001246935,0.0001403635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6058095,"threshold_uncertainty_score":0.793024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648371942851535,"score_gpt":0.3414828210713295,"score_spread":0.3049991016428141,"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."}}