{"id":"W6894290118","doi":"10.5683/sp2/5ltcgl","title":"Five-years of ocrelizumab in relapsing multiple sclerosis: OPERA studies open-label extension","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; McGill University","funders":"","keywords":"Ocrelizumab; Adverse effect; Clinical trial; Lesion; Opera","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001289364,0.0007175522,0.002003325,0.0007166234,0.0001660698,0.000210363,0.001768366,0.000575806,0.00004733594],"category_scores_gemma":[0.004978659,0.0007719808,0.0001428091,0.001178988,0.0003531107,0.000489874,0.002973022,0.0008954104,0.0001256024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006800587,"about_ca_system_score_gemma":0.0004955497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1993198,"about_ca_topic_score_gemma":0.1243596,"domain_scores_codex":[0.9948196,0.0007023301,0.001380593,0.001389493,0.0009786007,0.0007294258],"domain_scores_gemma":[0.9950353,0.0005747955,0.0008333419,0.00262713,0.0007640696,0.0001653991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004310055,0.0009479892,0.00002345185,0.0003215311,0.000320837,0.0005382755,0.0003916623,0.00009048601,0.001071656,0.000005642425,0.9949605,0.0008968968],"study_design_scores_gemma":[0.007865244,0.000209389,0.004555195,0.01098294,0.0003391239,0.00003020827,0.001462891,0.0001042768,0.0002543622,0.00003621138,0.973204,0.0009561268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00296965,0.01952936,4.008649e-7,0.00006281734,0.0003523969,0.001052422,0.9759105,0.00006006187,0.00006237435],"genre_scores_gemma":[0.0002227018,0.01452347,0.001270641,0.0001810859,0.0001095021,0.0001870702,0.9832299,0.0002158574,0.00005978559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07496022,"threshold_uncertainty_score":0.9994731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325295091020031,"score_gpt":0.3458828991546429,"score_spread":0.2133533900526398,"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."}}