{"id":"W4221135233","doi":"10.2196/31823","title":"Iterative Development and Applicability of a Tablet-Based e-Coach for Older Adults in Rehabilitation Units to Improve Nutrition and Physical Activity: Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Rehabilitation; System usability scale; Test (biology); Malnutrition; Applied psychology; Physical therapy; Medicine; Psychology; Physical medicine and rehabilitation; Gerontology; Medical education; Computer science; Human–computer interaction; Web usability","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":[0.01282254,0.0008900779,0.000828445,0.001162044,0.0006822139,0.0009517745,0.001033907,0.0008504749,0.001131307],"category_scores_gemma":[0.02663303,0.0004779345,0.001142194,0.000453672,0.0005464077,0.00102508,0.001316969,0.0005296443,0.0003028192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339177,"about_ca_system_score_gemma":0.0009348102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008647169,"about_ca_topic_score_gemma":0.001966913,"domain_scores_codex":[0.9944816,0.003202432,0.0006575544,0.0005519328,0.0007640057,0.0003423837],"domain_scores_gemma":[0.9807093,0.01307689,0.0006680556,0.001450573,0.003581822,0.0005132696],"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":[0.005384065,0.03420213,0.1966599,0.006081385,0.001001199,0.002471133,0.07409342,0.006258246,0.070329,0.00070288,0.002893995,0.5999226],"study_design_scores_gemma":[0.003119122,0.2088614,0.5807964,0.002367548,0.002372084,0.00516458,0.05073953,0.04486394,0.07345301,0.0008901462,0.02660244,0.0007697361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906564,0.00008892566,0.005968308,0.000034049,0.00001136004,0.002598562,0.00005266738,0.00007703284,0.0005126604],"genre_scores_gemma":[0.9189124,0.0003257534,0.07512544,0.000124239,0.00002033727,0.00411953,0.00024,0.0000609798,0.001071382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01282254,"threshold_uncertainty_score":0.06781286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810686488106751,"score_gpt":0.4217933971767841,"score_spread":0.3736865322957166,"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."}}