{"id":"W3132575552","doi":"10.2196/25604","title":"Usability of a Fall Risk mHealth App for People With Multiple Sclerosis: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Quality of life (healthcare); Medicine; Fall prevention; Applied psychology; Physical therapy; Psychology; Poison control; Computer science; Human factors and ergonomics; Medical emergency; Psychological intervention; Nursing; 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":[0.02594394,0.001083149,0.002306221,0.002029494,0.003422169,0.003112285,0.001334161,0.00157735,0.003113547],"category_scores_gemma":[0.0313369,0.001110464,0.003069516,0.001534545,0.001182019,0.002898092,0.00227613,0.001655618,0.0007829387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521686,"about_ca_system_score_gemma":0.004032194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0043861,"about_ca_topic_score_gemma":0.009506322,"domain_scores_codex":[0.9865498,0.007060703,0.002124976,0.001175706,0.002123278,0.0009655872],"domain_scores_gemma":[0.9796569,0.01080495,0.002143773,0.001175134,0.005349459,0.0008698473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.005692383,0.03016713,0.2685992,0.01767373,0.002197551,0.002095856,0.4601718,0.0002471861,0.003011721,0.0009108493,0.004531966,0.2047006],"study_design_scores_gemma":[0.00518572,0.07679315,0.4427506,0.009389446,0.003533613,0.002877194,0.4233861,0.002637351,0.003196558,0.001946341,0.02750392,0.0007999889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855504,0.001389115,0.001802228,0.0003143545,0.00005672134,0.008888252,0.0004070079,0.00002655964,0.001565273],"genre_scores_gemma":[0.9517241,0.002340508,0.008491335,0.001651109,0.0001080778,0.03312133,0.0004962666,0.00005010867,0.002017096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02594394,"threshold_uncertainty_score":0.1372064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325076503769779,"score_gpt":0.4284392468585093,"score_spread":0.2959315964815313,"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."}}