{"id":"W4387116074","doi":"10.1007/s00415-023-11980-z","title":"Examining the environmental risk factors of progressive-onset and relapsing-onset multiple sclerosis: recruitment challenges, potential bias, and statistical strategies","year":2023,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Jerome; Université de Montréal","funders":"National Health and Medical Research Council; Multiple Sclerosis Australia; Multiple Sclerosis Society; Medical Research Council; University of Tasmania; National Multiple Sclerosis Society","keywords":"Medicine; Demography; Residence; Etiology; Multiple sclerosis; Observational study; Population; Gerontology; Environmental health; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008389152,0.0001667331,0.0004548765,0.0001903681,0.0001675662,0.00002521609,0.00009962085,0.00009222937,0.00002363159],"category_scores_gemma":[0.00111706,0.0001022121,0.00005568247,0.00007834388,0.0007869357,0.00009157651,0.0002012708,0.0005989526,0.000001530078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001742842,"about_ca_system_score_gemma":0.00005662052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001592873,"about_ca_topic_score_gemma":0.00001016439,"domain_scores_codex":[0.9979532,0.0005844134,0.0004866219,0.0002252049,0.000441337,0.0003092249],"domain_scores_gemma":[0.9975612,0.001655146,0.0004197795,0.0001609238,0.00004643668,0.0001565532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002277168,0.0003444398,0.9386957,0.0001399238,0.0006334303,0.0005921167,0.003503704,0.00007770739,0.01696798,0.0000130396,0.001295491,0.03545926],"study_design_scores_gemma":[0.001832882,0.003492545,0.9889228,0.00008064045,0.0001319813,0.0004851222,0.003489609,0.0009514272,0.0002071321,0.000068207,0.0002696885,0.00006799473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936947,0.003864422,0.00002931224,0.001727612,0.0001489833,0.0003880743,0.00012663,0.00001234014,0.000007983859],"genre_scores_gemma":[0.963746,0.03587545,0.0002081858,0.00004318274,0.00008093483,0.00001448527,0.000008195371,0.00001824703,0.000005343691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05022703,"threshold_uncertainty_score":0.416809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2488786352219118,"score_gpt":0.3375108209164153,"score_spread":0.08863218569450348,"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."}}