{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003556953,0.0003572244,0.0007432044,0.0005127455,0.0002524447,0.00009634441,0.0003487502,0.000461182,0.00003766181],"category_scores_gemma":[0.0002944799,0.0002412215,0.00006888874,0.00009946162,0.000210191,0.00009091555,0.0002828293,0.0006605969,0.00001126503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038606,"about_ca_system_score_gemma":0.0005197707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823354,"about_ca_topic_score_gemma":0.0003168492,"domain_scores_codex":[0.9982129,0.00002503389,0.0002985628,0.0007105929,0.0003405632,0.0004122886],"domain_scores_gemma":[0.9974636,0.0001980472,0.0004615816,0.001415696,0.0002899201,0.0001711913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001381292,0.0005390208,0.8905208,0.008400622,0.001517459,0.00005782363,0.0004596596,0.0009817999,0.0007701858,0.004837168,0.007154884,0.08337934],"study_design_scores_gemma":[0.1047765,0.03416342,0.4056271,0.08581357,0.005675473,0.0006975055,0.003428038,0.04862469,0.2328933,0.02532257,0.04485112,0.00812667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3024344,0.0008394548,0.5459089,0.1129957,0.0004723636,0.01857303,0.0002082212,0.002016077,0.01655174],"genre_scores_gemma":[0.7096846,0.000124496,0.2869122,0.0007432179,0.0001439775,0.00113325,0.0001925916,0.00009302131,0.0009727456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4848936,"threshold_uncertainty_score":0.9836727,"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."}}