{"id":"W3044882787","doi":"10.2196/19582","title":"In-Home Rehabilitation Using a Smartphone App Coupled With 3D Printed Functional Objects: Single-Subject Design Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Physical medicine and rehabilitation; Usability; Task (project management); Rehabilitation; Physical therapy; Activities of daily living; Stroke (engine); System usability scale; Medicine; mHealth; Psychology; Computer science; Human–computer interaction; Nursing; Heuristic evaluation","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":[0.007931462,0.001850771,0.003752427,0.0009781389,0.001215222,0.0008548529,0.0009643983,0.001705235,0.005298773],"category_scores_gemma":[0.004203275,0.0009744136,0.002434752,0.0005182548,0.001167978,0.0007452484,0.0005767483,0.0009853992,0.001180597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007403024,"about_ca_system_score_gemma":0.001591734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446138,"about_ca_topic_score_gemma":0.002763999,"domain_scores_codex":[0.995193,0.002291496,0.0005263054,0.0009009349,0.0005742455,0.0005141361],"domain_scores_gemma":[0.9958727,0.001572437,0.0004408472,0.0005544663,0.001181321,0.0003782455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.2441882,0.5375232,0.06369647,0.005128394,0.00459383,0.001198278,0.007527945,0.002370106,0.05471915,0.0006899508,0.002103157,0.07626152],"study_design_scores_gemma":[0.0278527,0.8783572,0.08091762,0.000104466,0.002066257,0.0001871023,0.001804972,0.001901284,0.003844847,0.0003064004,0.002566317,0.00009087506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822299,0.0002781235,0.003740528,0.00004316825,0.0001505543,0.01274889,0.0002083259,0.00005058969,0.0005499019],"genre_scores_gemma":[0.9444385,0.0003346186,0.0119273,0.0003569508,0.0003162569,0.03902275,0.0003437114,0.00002890015,0.003231148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007931462,"threshold_uncertainty_score":0.04194605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07179001507397698,"score_gpt":0.3430540826936695,"score_spread":0.2712640676196926,"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."}}