{"id":"W2008061132","doi":"10.1159/000072927","title":"Multiple Sclerosis in Northern Sardinia, Italy: A Methodological Approach for Genetic Epidemiological Studies","year":2003,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministero dell'Università e della Ricerca; Fondazione Italiana Sclerosi Multipla","keywords":"Medicine; Epidemiology; Multiple sclerosis; Disease; Population; Incidence (geometry); Demography; Family history; Family aggregation; Pediatrics; Environmental health; Pathology; Psychiatry; Internal medicine","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007346097,0.0005304175,0.002887981,0.0002903909,0.0002007181,0.000007662823,0.0002826558,0.0004126395,0.00002504577],"category_scores_gemma":[0.2446025,0.0003623526,0.0005779138,0.0004442816,0.0008890409,0.00005220082,0.0002193831,0.0008310631,0.0000274516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036421,"about_ca_system_score_gemma":0.00008649928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004351482,"about_ca_topic_score_gemma":0.0001493601,"domain_scores_codex":[0.9892277,0.006182524,0.001420848,0.001435862,0.0002585965,0.001474496],"domain_scores_gemma":[0.9655602,0.03278966,0.000279076,0.0007022203,0.0003201933,0.0003486476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00065945,0.0004520396,0.9803949,0.0002038588,0.000272466,0.00003577195,0.0001469237,0.001473524,0.006914457,0.000373739,0.003456766,0.005616101],"study_design_scores_gemma":[0.004326112,0.001445648,0.9808393,0.00005732113,0.0001002271,0.0001132412,0.0004825415,0.004958916,0.0003381606,0.001777137,0.005194033,0.0003674229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574577,0.007296734,0.0270604,0.003605694,0.0004028995,0.003093665,0.00002932281,0.0001854849,0.0008680589],"genre_scores_gemma":[0.7534389,0.003829054,0.2378868,0.002982165,0.000187968,0.001503577,0.0000233825,0.0000489881,0.00009907481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2372564,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5768600338042191,"score_gpt":0.45459823756823,"score_spread":0.1222617962359892,"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."}}