{"id":"W2359083594","doi":"10.1016/j.msard.2016.05.009","title":"Chronic lung disease and multiple sclerosis: Incidence, prevalence, and temporal trends","year":2016,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University; Manitoba Health; University of British Columbia; University of Alberta; University of Manitoba; Ministry of Health; McGill University; University of Calgary","funders":"Canadian Institutes of Health Research; Dalhousie University; Nova Scotia Department of Health and Wellness; Multiple Sclerosis Society; University of Alberta; Department of Health, Western Cape Government; Research Manitoba; Multiple Sclerosis Society of Canada; McGill University","keywords":"Medicine; Incidence (geometry); Population; Poisson regression; Epidemiology; Cohort; Asthma; Multiple sclerosis; Demography; Internal medicine; Pediatrics; Immunology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004878502,0.0005972301,0.0007171162,0.0005017094,0.0006926946,0.0001168567,0.0001750221,0.0002869149,0.0002116704],"category_scores_gemma":[0.00105766,0.0003995034,0.0001872664,0.0005614577,0.001475443,0.0005235929,0.0004857566,0.0004075257,0.00001713914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618989,"about_ca_system_score_gemma":0.0001112023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819474,"about_ca_topic_score_gemma":0.0003444638,"domain_scores_codex":[0.9962878,0.0001815055,0.0006857887,0.001235261,0.0006590419,0.0009506535],"domain_scores_gemma":[0.9974807,0.0005778059,0.0002015652,0.0005732714,0.0001360634,0.001030612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004387198,0.000180139,0.7903242,0.0004901744,0.0003201898,0.000006625907,0.0003653812,0.000004933015,0.01561863,0.00002708288,0.0009895694,0.1912344],"study_design_scores_gemma":[0.01233103,0.0003056928,0.9725428,0.002646935,0.0003179969,0.000008807554,0.0001717925,0.009386117,0.000191565,0.00006289699,0.001466748,0.0005676305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513245,0.04000131,0.00006307728,0.006407783,0.0001724022,0.001141763,0.0001785643,0.0002515958,0.0004590147],"genre_scores_gemma":[0.8942759,0.1035215,0.0001585575,0.00007635274,0.000102434,0.0001568385,0.00002798578,0.00007734168,0.001603109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1906668,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066636304140985,"score_gpt":0.2657576412911219,"score_spread":0.235091278249712,"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."}}