{"id":"W1574519071","doi":"10.1212/wnl.84.14_supplement.p7.254","title":"Early Onset and Predictive Value of MRI Measures among Patients Receiving Interferon Beta-1a SC tiw for RRMS: Post Hoc Analyses of PRISMS-2 Data (P7.254)","year":2015,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Post-hoc analysis; Post hoc; Predictive value; Medicine; Internal medicine; BETA (programming language); Value (mathematics); Interferon beta-1a; Nuclear medicine; Interferon beta; Interferon; Statistics; Mathematics; Immunology; Computer science","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":[0.004104581,0.0004334819,0.001101548,0.0004088154,0.0001957665,0.0005656079,0.0005554148,0.0004363448,0.002709254],"category_scores_gemma":[0.005959207,0.0002318588,0.002057736,0.0004565672,0.0003351296,0.000577188,0.0004973118,0.001193538,0.0001756891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501996,"about_ca_system_score_gemma":0.0006866496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147929,"about_ca_topic_score_gemma":0.001120401,"domain_scores_codex":[0.9975562,0.001218282,0.0001758674,0.0005262798,0.0002973736,0.0002258544],"domain_scores_gemma":[0.9921392,0.005067781,0.001311302,0.0006136621,0.0002618047,0.0006062421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1403609,0.001081705,0.8356699,0.0002002644,0.00448315,0.0003354468,0.0002081112,0.001182824,0.004489166,0.00007283032,0.0008879242,0.01102776],"study_design_scores_gemma":[0.001561748,0.01537601,0.9761436,0.00001602931,0.001410598,0.0002037572,0.0001574614,0.003370652,0.001130888,0.00006189544,0.000547566,0.00001971344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989272,0.0001108881,0.0001620001,0.00002868729,0.00002107128,0.00002600931,0.0004797141,0.000008897693,0.0002354884],"genre_scores_gemma":[0.9987561,0.00002087007,0.0002068499,0.00001839664,0.00002137781,0.00004510331,0.0006683345,0.000006486765,0.0002564833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004104581,"threshold_uncertainty_score":0.02170736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596473175757192,"score_gpt":0.3760783018589485,"score_spread":0.2164309842832292,"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."}}