{"id":"W4386338355","doi":"10.2196/45429","title":"Impact of the COVID-19 Pandemic on the Personal Networks and Neurological Outcomes of People With Multiple Sclerosis: Cross-Sectional and Longitudinal Case-Control Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institute on Aging","keywords":"Medicine; Pandemic; Cross-sectional study; Multiple sclerosis; Coronavirus disease 2019 (COVID-19); Gerontology; Disease; Physical therapy; Internal medicine; Psychiatry; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443872,0.0003455379,0.0003247503,0.0007920649,0.0008563701,0.0007632781,0.0005259379,0.0006796855,0.001136876],"category_scores_gemma":[0.002787187,0.0004166218,0.0005396362,0.0009759138,0.0004076699,0.000611697,0.0007010371,0.000815312,0.0001813185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455572,"about_ca_system_score_gemma":0.0004771347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009725839,"about_ca_topic_score_gemma":0.01086979,"domain_scores_codex":[0.999143,0.0002431004,0.00009646094,0.0002628903,0.0001372581,0.0001173356],"domain_scores_gemma":[0.9981188,0.0002574883,0.0008807203,0.0002047913,0.0002472755,0.0002908595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009295201,0.00008350302,0.9990269,0.000009946654,0.00007859299,0.00003947075,0.0001063083,0.00001417432,0.00007874476,0.00001340771,0.00007107201,0.0003848422],"study_design_scores_gemma":[0.00001832036,0.0002162454,0.9988789,0.00001098684,0.00006406158,0.0002007399,0.0002950779,0.0001354819,0.00003468321,0.00001899271,0.0001219075,0.000004550905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991156,0.0001693162,0.00007534235,0.00002807097,0.000005857864,0.00002904798,0.0003653915,0.000002011712,0.0002094395],"genre_scores_gemma":[0.9992576,0.00009055009,0.00009057893,0.00003548435,0.00001214799,0.00004157754,0.0003866545,0.000001044803,0.00008438587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009725839,"threshold_uncertainty_score":0.01933843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1667953228092695,"score_gpt":0.3979426675607541,"score_spread":0.2311473447514847,"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."}}