{"id":"W2784416023","doi":"10.33015/dominican.edu/2017.ot.rp.22","title":"Managing Fatigue with Technology for Individuals with Multiple Sclerosis","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; mHealth; Physical medicine and rehabilitation; Psychology; Physical therapy; Medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007115151,0.0002421575,0.0002227589,0.0002908807,0.0003901716,0.0004079482,0.0002097457,0.0005277264,0.003865757],"category_scores_gemma":[0.003157098,0.00006199502,0.0002482308,0.0001498718,0.0002012842,0.0003749354,0.0005427992,0.0002429311,0.0004669529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363663,"about_ca_system_score_gemma":0.0004279181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003707268,"about_ca_topic_score_gemma":0.00101231,"domain_scores_codex":[0.9996106,0.0001560645,0.00003087787,0.00003300716,0.0001156349,0.00005389728],"domain_scores_gemma":[0.9992887,0.0003654057,0.0001601884,0.00002588334,0.00008632663,0.00007338487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001021638,0.005468531,0.1647049,0.002572537,0.0001721389,0.000526351,0.005574814,0.0004530085,0.02216116,0.0001428346,0.002836959,0.7943652],"study_design_scores_gemma":[0.0006223728,0.04445123,0.8994884,0.001516699,0.000499714,0.004479012,0.007679309,0.001387681,0.01361437,0.0007355456,0.02547039,0.00005530483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899848,0.00293137,0.0009512339,0.001170308,0.00003705276,0.0001522778,0.00004848254,0.00004296072,0.004681588],"genre_scores_gemma":[0.9926836,0.001662577,0.003662951,0.0003774985,0.00006732364,0.0001698894,0.00004776283,0.000003447748,0.001324976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003865757,"threshold_uncertainty_score":0.01293224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0817778797241141,"score_gpt":0.3468954289482569,"score_spread":0.2651175492241428,"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."}}