{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001221342,0.0002797561,0.0003112873,0.002956632,0.0004411772,0.0008093922,0.0006911808,0.0003483036,0.0006520701],"category_scores_gemma":[0.002666692,0.0001731742,0.0003396852,0.005710199,0.0003165639,0.0005490392,0.000453571,0.0004261073,0.0001206418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003317924,"about_ca_system_score_gemma":0.005193286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6055763,"about_ca_topic_score_gemma":0.5856782,"domain_scores_codex":[0.9990672,0.0001133406,0.0001070478,0.0001995636,0.0003896291,0.000123254],"domain_scores_gemma":[0.9980616,0.000151649,0.0008511472,0.00005685139,0.0007538787,0.0001248291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002488177,0.00001104924,0.9953395,0.00007391283,0.00009168551,0.00002341335,0.00007140835,0.0001097476,0.00008722093,0.00003391112,0.0001755415,0.003957731],"study_design_scores_gemma":[0.000002515129,0.00001371733,0.9991043,0.00002238875,0.00003619302,0.00008701095,0.00007727586,0.0002085472,0.00003208641,0.00001704597,0.0003966521,0.000002249434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746155,0.008691905,0.0008455827,0.0005952269,0.00002125413,0.00007080362,0.01234547,0.00004567607,0.002768584],"genre_scores_gemma":[0.9912957,0.002769759,0.0009452745,0.00006701417,0.00003451826,0.00003601822,0.004503204,0.000004393964,0.0003441222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6055763,"threshold_uncertainty_score":0.7934932,"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."}}