{"id":"W3210899723","doi":"10.3389/fneur.2021.754144","title":"Development and Internal Validation of a Disability Algorithm for Multiple Sclerosis in Administrative Data","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Research Manitoba","keywords":"Rehabilitation; Medicine; Confounding; Health care; Expanded Disability Status Scale; Multiple sclerosis; Physical therapy; Physical medicine and rehabilitation; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.03301618,0.001285203,0.001158252,0.005224273,0.001216436,0.002973793,0.002013567,0.001230376,0.001554699],"category_scores_gemma":[0.0987753,0.0006046855,0.001861857,0.003062591,0.0006110889,0.001765322,0.003011992,0.001722578,0.0009145645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335356,"about_ca_system_score_gemma":0.005053516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010859,"about_ca_topic_score_gemma":0.00650366,"domain_scores_codex":[0.9823239,0.008685195,0.002752667,0.00273411,0.002872778,0.0006313322],"domain_scores_gemma":[0.935678,0.03289445,0.005490776,0.004338111,0.02104372,0.0005548931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007603572,0.001207079,0.3441854,0.0006313533,0.001272334,0.0002497125,0.0007395269,0.1005767,0.004576822,0.006163658,0.01591293,0.5237242],"study_design_scores_gemma":[0.0005437181,0.000367362,0.08730254,0.0003730498,0.0002722387,0.0003918361,0.0003663196,0.8801022,0.01058391,0.006802468,0.01277927,0.0001150996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1761205,0.0005264306,0.8042738,0.0008689792,0.0001821763,0.002857663,0.004766146,0.007217367,0.003186982],"genre_scores_gemma":[0.3213554,0.0001118949,0.6700884,0.0001620658,0.00004792263,0.002092686,0.005177342,0.0002808517,0.000683432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03301618,"threshold_uncertainty_score":0.1746084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660146681371243,"score_gpt":0.3595512374614112,"score_spread":0.1935365693242868,"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."}}