{"id":"W1562003451","doi":"10.1212/wnl.82.10_supplement.p3.178","title":"Assessing a Scoring System to Predict Disease Activity in Patients with Multiple Sclerosis: <i>Post Hoc</i> Analyses of Data from Clinical Trials of Subcutaneous Interferon Beta-1a (P3.178)","year":2014,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Post-hoc analysis; Multiple sclerosis; Medicine; Interferon beta; Clinical trial; Interferon beta-1a; Post hoc; Disease; BETA (programming language); Internal medicine; Scoring system; Oncology; Physical therapy; 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":[0.009814149,0.00118747,0.002066411,0.000861484,0.0003382778,0.0007133268,0.0007305071,0.0004434781,0.001712805],"category_scores_gemma":[0.01282167,0.0002595175,0.001795466,0.0007245367,0.0007587101,0.0007339134,0.0006643698,0.00114481,0.0003213771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005145386,"about_ca_system_score_gemma":0.0007817168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005809056,"about_ca_topic_score_gemma":0.0008043438,"domain_scores_codex":[0.9926782,0.005340857,0.0004533355,0.0006439019,0.0005848844,0.0002987357],"domain_scores_gemma":[0.9852843,0.008747884,0.002960033,0.001164265,0.001167251,0.0006763032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2855417,0.003168696,0.6421046,0.0004946017,0.01231905,0.0001049451,0.000269481,0.003137096,0.004784921,0.0001200589,0.002364832,0.04558995],"study_design_scores_gemma":[0.01926081,0.1060255,0.8528296,0.0000447812,0.003786865,0.0002585318,0.0002497111,0.01198465,0.00340405,0.0002000343,0.001868566,0.00008678207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952809,0.0004532792,0.001778664,0.00008359295,0.00006188851,0.0007293625,0.000815309,0.0000551384,0.000741802],"genre_scores_gemma":[0.9964027,0.00005036004,0.001183348,0.00003861853,0.00003985403,0.0007169225,0.001293092,0.00001564726,0.0002593226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009814149,"threshold_uncertainty_score":0.05190277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3682122043473199,"score_gpt":0.4521674737644966,"score_spread":0.08395526941717663,"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."}}