{"id":"W2594474790","doi":"10.2196/mhealth.6192","title":"Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Mobile phone; Intervention (counseling); Medicine; Psychology; Physical therapy; Psychological intervention; Psychiatry; Engineering","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":[0.01096707,0.0004545191,0.0005900029,0.00301872,0.0006563,0.0009696869,0.0004963758,0.0009588433,0.001760135],"category_scores_gemma":[0.0130161,0.0005859036,0.001179687,0.00335611,0.000552977,0.001168913,0.001517746,0.0006413843,0.0008848748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009011088,"about_ca_system_score_gemma":0.001104948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002955583,"about_ca_topic_score_gemma":0.003923422,"domain_scores_codex":[0.992111,0.004155012,0.001760875,0.0004275168,0.001099827,0.0004457413],"domain_scores_gemma":[0.9904585,0.002890276,0.003112656,0.0004745106,0.002681548,0.0003825333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000239942,0.0007123175,0.9643312,0.001050619,0.0002069556,0.0001357261,0.00663198,0.0002976281,0.0007733162,0.0001255305,0.001131448,0.02436336],"study_design_scores_gemma":[0.0001163435,0.0055218,0.9706846,0.0004183176,0.0001213024,0.0004111903,0.01532593,0.001184637,0.0005972909,0.0001127245,0.005462374,0.00004348188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829811,0.0003583933,0.002276393,0.0001853986,0.00001768982,0.008720173,0.003684074,0.00002042359,0.001756186],"genre_scores_gemma":[0.9530142,0.001226998,0.01164781,0.0006314685,0.00005792065,0.02835719,0.003827673,0.00001417932,0.001222542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01096707,"threshold_uncertainty_score":0.05800015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4299613549703603,"score_gpt":0.4853775942636591,"score_spread":0.05541623929329875,"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."}}