{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1808679,0.001117601,0.001943758,0.004630795,0.002219382,0.002933754,0.002443143,0.001413419,0.001664922],"category_scores_gemma":[0.2602983,0.0008236082,0.002319478,0.008060714,0.003012439,0.0009300705,0.004252049,0.001359969,0.0003249717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093711,"about_ca_system_score_gemma":0.006943283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141989,"about_ca_topic_score_gemma":0.0163068,"domain_scores_codex":[0.6365932,0.3387537,0.01175181,0.006184423,0.006059417,0.000657586],"domain_scores_gemma":[0.8911954,0.06629548,0.01182487,0.02043148,0.009523691,0.0007291221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003817179,0.0007939824,0.4196312,0.01225136,0.01158802,0.001920052,0.02111695,0.01981453,0.00472133,0.1648907,0.01392434,0.3255303],"study_design_scores_gemma":[0.008218911,0.007106047,0.6052316,0.008571922,0.01304758,0.002576649,0.01273312,0.04907806,0.003214771,0.1205345,0.1691715,0.0005153404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1861124,0.01484217,0.6683094,0.0155372,0.001633496,0.09686951,0.003558399,0.0004325278,0.01270486],"genre_scores_gemma":[0.2239429,0.002519999,0.5739709,0.002802127,0.0003689682,0.1937351,0.0009234029,0.00008850852,0.001648202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1808679,"threshold_uncertainty_score":0.9565321,"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."}}