{"id":"W2900162547","doi":"10.1513/annalsats.201803-187oc","title":"Generational Patterns of Asthma Incidence among Immigrants to Canada over Two Decades. A Population-based Cohort Study","year":2018,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Mount Sinai Hospital; University of Ottawa; Children's Hospital of Eastern Ontario; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Ottawa Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Demography; Incidence (geometry); Asthma; Immigration; Population; Confidence interval; Rate ratio; Relative risk; Cohort; Cohort study; Environmental health; Geography; Internal medicine","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":[0.000618134,0.0003849838,0.0003347806,0.001532845,0.002007177,0.001111627,0.0009172439,0.0004254324,0.001052479],"category_scores_gemma":[0.001187709,0.000395093,0.0007346958,0.002793957,0.0004919071,0.0003210975,0.0007357929,0.0006408994,0.0001707285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008936114,"about_ca_system_score_gemma":0.009934857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703597,"about_ca_topic_score_gemma":0.976998,"domain_scores_codex":[0.9994105,0.00003629098,0.00003844782,0.0001508184,0.0001639875,0.0001999464],"domain_scores_gemma":[0.9988948,0.00003452364,0.000304383,0.00006564669,0.0004142763,0.0002864547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004810161,0.00001029669,0.998383,0.000007882887,0.00004596502,0.00004861805,0.0003170513,0.00002207574,0.00007720645,0.0000183924,0.000276925,0.0007444636],"study_design_scores_gemma":[0.000004137884,0.00001121584,0.999076,0.00000985791,0.00002044776,0.00004447134,0.0004304196,0.0000944506,0.00001682192,0.000006948644,0.0002795427,0.000005679891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939665,0.000449615,0.00008614769,0.0000907987,0.00000828334,0.00004062307,0.004679762,0.000008732438,0.0006696344],"genre_scores_gemma":[0.9968207,0.0002814115,0.0001046601,0.00004637277,0.000003835621,0.00002137409,0.002182412,0.000004085989,0.0005351516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02964032,"threshold_uncertainty_score":0.06483632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275789383396025,"score_gpt":0.3844965589353851,"score_spread":0.3517386651014249,"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."}}