{"id":"W1534773079","doi":"10.1177/1352458515579444","title":"Level of education and multiple sclerosis risk after adjustment for known risk factors: The EnvIMS study","year":2015,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Universitetet i Bergen; Helse Vest; Multiple Sclerosis Society of Canada; Multiple Sclerosis Society; Fondazione Italiana Sclerosi Multipla","keywords":"Medicine; Multiple sclerosis; Socioeconomic status; Mononucleosis; Case-control study; Risk factor; Disease; Vitamin D and neurology; Demography; Internal medicine; Environmental health; Immunology; Population","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002848087,0.0005398373,0.0009100593,0.0003910934,0.0008090751,0.0001724634,0.0004007949,0.0001674219,0.00006199162],"category_scores_gemma":[0.007641463,0.0003403103,0.0004230829,0.000395372,0.0004310441,0.000371121,0.0003463386,0.0009290151,0.00001395548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220886,"about_ca_system_score_gemma":0.0004392364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001981114,"about_ca_topic_score_gemma":0.0008588789,"domain_scores_codex":[0.9953581,0.0007121254,0.001129642,0.0006399408,0.001363794,0.0007963782],"domain_scores_gemma":[0.994562,0.001596865,0.0008473114,0.0007832627,0.001395729,0.0008148372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001449712,0.003086825,0.8909554,0.00006832016,0.0008195386,9.032813e-7,0.01379995,0.0001036149,0.005317923,0.000001086614,0.006378473,0.07801829],"study_design_scores_gemma":[0.01021025,0.001901882,0.9545083,0.0003970056,0.000679768,0.00001356252,0.02539037,0.00205843,0.003141872,0.00003522568,0.001337834,0.0003255168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900416,0.003501935,0.0009369368,0.0004056497,0.0008682067,0.003343189,0.000820687,0.00004292236,0.00003884857],"genre_scores_gemma":[0.9893032,0.004483919,0.004437113,0.0000811967,0.0009009373,0.0004861249,0.00002439825,0.00008705232,0.0001960098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07769277,"threshold_uncertainty_score":0.9999049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2976707891108616,"score_gpt":0.3490772758925649,"score_spread":0.05140648678170323,"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."}}