{"id":"W3129497653","doi":"10.1212/wnl.92.15_supplement.p4.2-065","title":"The Economic Impact of Multiple Sclerosis: A Preliminary Look at the North American Registry for Care and Research in Multiple Sclerosis (NARCRMS) (On behalf of the NARCRMS Health Economics Outcomes Research [HEOR] Advisory Group) (P4.2-065)","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multiple sclerosis; Outcomes research; Medicine; Family medicine; Gerontology; Alternative medicine; Psychiatry; Pathology","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":[0.008952696,0.0002317967,0.0003223218,0.002449271,0.0004365755,0.002620854,0.0005120639,0.001187339,0.003773364],"category_scores_gemma":[0.03456471,0.0001096383,0.0004596287,0.005652043,0.0006287229,0.002736188,0.0008615444,0.002624487,0.0002380217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177559,"about_ca_system_score_gemma":0.003029306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002723,"about_ca_topic_score_gemma":0.03610739,"domain_scores_codex":[0.9976397,0.001232414,0.0001463849,0.00007423817,0.0006981248,0.0002091717],"domain_scores_gemma":[0.973339,0.01804701,0.002198859,0.0004204398,0.005139258,0.000855423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005836332,0.0002573866,0.1643273,0.001582566,0.0003282259,0.0002838974,0.0008441638,0.003814387,0.0001651485,0.1610567,0.437754,0.2290025],"study_design_scores_gemma":[0.00007833357,0.0002262515,0.5551447,0.003656031,0.0002572943,0.0002811778,0.002527692,0.004331659,0.0003576803,0.05529699,0.3777507,0.00009149165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07418958,0.1302959,0.00276754,0.7132835,0.002815209,0.0001243332,0.01445057,0.00004550877,0.06202794],"genre_scores_gemma":[0.7498091,0.1595518,0.003117842,0.04948862,0.01276758,0.0001804969,0.01412268,0.0001282358,0.01083377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02002723,"threshold_uncertainty_score":0.04734695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3992442331638583,"score_gpt":0.4481619322454256,"score_spread":0.04891769908156723,"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."}}