{"id":"W2809364847","doi":"10.1177/1352458518783667","title":"Predicting risk of secondary progression in multiple sclerosis: A nomogram","year":2018,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"Neuroförbundet; Biogen","keywords":"Multiple sclerosis; Nomogram; Medicine; Oncology; Immunology","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":[0.002935279,0.0005632077,0.001190868,0.001002891,0.0008908389,0.0001485298,0.0005438849,0.0003285123,0.0004140073],"category_scores_gemma":[0.006958228,0.0004575446,0.0005451404,0.001206124,0.00105144,0.0005635045,0.0004867581,0.002079251,0.00006699246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947114,"about_ca_system_score_gemma":0.0003989201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005295079,"about_ca_topic_score_gemma":0.001240545,"domain_scores_codex":[0.9938238,0.0006041442,0.001767824,0.0007814514,0.001643457,0.001379361],"domain_scores_gemma":[0.9954061,0.0008846174,0.001009546,0.0007725362,0.001190641,0.0007365663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001230077,0.0008890593,0.7250111,0.0001347927,0.0002667122,0.00001668162,0.001662599,0.00002711906,0.1151324,9.383867e-7,0.0008958503,0.1547327],"study_design_scores_gemma":[0.01336917,0.001651053,0.9264283,0.004192517,0.0001277582,0.00008033857,0.001310137,0.01352231,0.03828025,0.00001989632,0.0006451005,0.0003732218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947311,0.001549256,0.000332193,0.0004118863,0.000597836,0.001333299,0.0001270712,0.0001398419,0.000777553],"genre_scores_gemma":[0.9819099,0.003356782,0.01308406,0.0001048074,0.001230874,0.00013343,0.00001775105,0.0001073616,0.00005506099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2014172,"threshold_uncertainty_score":0.9997876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044172356897661,"score_gpt":0.3204240787279831,"score_spread":0.2160068430382169,"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."}}