{"id":"W2319466650","doi":"10.1017/s031716710001547x","title":"Natalizumab Risk Stratification: Role of a Two- Step Anti-JCV Antibody Assay","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Polyomavirus and related diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"EMD Serono; Pharmaceuticals Bayer; Biogen; Genentech; Celgene; Sanofi; IC Design Education Center; Teva Pharmaceutical Industries; Eli Lilly and Company","keywords":"Natalizumab; Risk stratification; Antibody; Stratification (seeds); Medicine; Immunology; Internal medicine; Multiple sclerosis; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002009296,0.0008540807,0.00108457,0.0007843378,0.0001958397,0.001492806,0.0004975537,0.0007817783,0.002247758],"category_scores_gemma":[0.006301554,0.0002860162,0.0004594123,0.0004711139,0.0002085541,0.0005625201,0.0002412323,0.0009789085,0.0009727062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609015,"about_ca_system_score_gemma":0.0005034356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064144,"about_ca_topic_score_gemma":0.002209645,"domain_scores_codex":[0.9988439,0.0004366196,0.0001374793,0.00016328,0.0003290956,0.00008948378],"domain_scores_gemma":[0.9979703,0.001033658,0.0003448881,0.0001540209,0.0003111736,0.0001858709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01636097,0.0006914081,0.6590367,0.0003621497,0.0008737171,0.000392945,0.0001462545,0.001356785,0.02755238,0.0005705958,0.006815908,0.2858401],"study_design_scores_gemma":[0.001106927,0.005018622,0.8874276,0.0004187705,0.00187193,0.003931219,0.0001835808,0.04188854,0.03504342,0.001718571,0.02125074,0.0001401715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345436,0.02520038,0.01659388,0.003711661,0.001103721,0.0004684306,0.001240495,0.0005651106,0.0165728],"genre_scores_gemma":[0.9828317,0.002116625,0.01140479,0.0004836831,0.0002196867,0.00006821601,0.0004937556,0.00003551686,0.002346045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002247758,"threshold_uncertainty_score":0.01062632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513597643339256,"score_gpt":0.3012765583546805,"score_spread":0.276140581921288,"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."}}