{"id":"W2169155838","doi":"10.1177/1352458512469696","title":"Copy number variation in pediatric multiple sclerosis","year":2012,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Stony Brook University; Multiple Sclerosis Society; University of California, San Francisco; Massachusetts General Hospital; National Multiple Sclerosis Society; Mayo Clinic","keywords":"Multiple sclerosis; Copy-number variation; Variation (astronomy); Clinical neurology; Medicine; Genetics; Biology; Neuroscience; Gene; Genome; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002886034,0.0002482022,0.000240417,0.001498756,0.0001979519,0.0003671507,0.0002524923,0.0002927124,0.002064611],"category_scores_gemma":[0.001916262,0.0000987004,0.0001862807,0.001382662,0.0002181757,0.0001739885,0.0002748692,0.000228433,0.0002244652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267917,"about_ca_system_score_gemma":0.0002045625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272833,"about_ca_topic_score_gemma":0.001192923,"domain_scores_codex":[0.99949,0.00006841659,0.00004663858,0.0002078294,0.0001516744,0.00003547988],"domain_scores_gemma":[0.9991069,0.0003993229,0.0003165105,0.00004672477,0.00008739532,0.00004307423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002760142,0.00002778093,0.9034185,0.000189032,0.000169244,0.005936165,0.0003635055,0.001178616,0.02532306,0.0006860052,0.001138684,0.06129341],"study_design_scores_gemma":[0.00001358112,0.000138963,0.9538721,0.00006226053,0.0001463418,0.02764679,0.0001566317,0.001223228,0.008335187,0.0008351466,0.007556003,0.00001378238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902001,0.003627075,0.001932204,0.00008514909,0.00001366437,0.00002348587,0.002329028,0.00005811195,0.001731061],"genre_scores_gemma":[0.995103,0.001221845,0.001835209,0.00003535037,0.00001461953,0.00002213858,0.001514337,0.00001677418,0.0002368192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002064611,"threshold_uncertainty_score":0.006906807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034046466346305,"score_gpt":0.2286191565552944,"score_spread":0.1882786918918313,"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."}}