{"id":"W4312094253","doi":"10.2196/40166","title":"A Mobile Phone Text Messaging Intervention to Manage Fatigue for People With Multiple Sclerosis, Spinal Cord Injury, and Stroke: Development and Usability Testing","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Clinical and Translational Sciences; Foundation for Barnes-Jewish Hospital","keywords":"Usability; Psychological intervention; Intervention (counseling); Medicine; Mobile phone; Self-management; mHealth; Behavior change methods; Psychology; Nursing; Computer science; Human–computer interaction","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":[0.005950728,0.0008645176,0.001003488,0.0008671791,0.0005462973,0.0004739813,0.0007752229,0.0008406935,0.002833222],"category_scores_gemma":[0.007464267,0.0004724084,0.001085697,0.0003491789,0.0002778232,0.0007088822,0.000702325,0.0005511299,0.0003321382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363615,"about_ca_system_score_gemma":0.00130262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008745419,"about_ca_topic_score_gemma":0.00180336,"domain_scores_codex":[0.9978678,0.001130038,0.0003587221,0.000207269,0.0002676291,0.0001683758],"domain_scores_gemma":[0.9968199,0.00218591,0.0001982847,0.0001237032,0.0004935078,0.0001786573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01761005,0.0865856,0.02900523,0.01258931,0.0008362813,0.0008620015,0.01650408,0.001871587,0.03010888,0.0004775824,0.005187703,0.7983617],"study_design_scores_gemma":[0.03357728,0.4790633,0.3984036,0.002672436,0.003183501,0.0008332953,0.008755868,0.01325114,0.02541888,0.000666254,0.03384785,0.0003265623],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631945,0.0004475966,0.004647897,0.0002497826,0.00007078503,0.02909311,0.0004853542,0.0002418069,0.001569238],"genre_scores_gemma":[0.8056085,0.001621329,0.08650837,0.0004971098,0.00009100114,0.1013333,0.0009146946,0.00007927117,0.003346565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005950728,"threshold_uncertainty_score":0.03147089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1917769435888354,"score_gpt":0.5056595755591401,"score_spread":0.3138826319703046,"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."}}