{"id":"W2808963066","doi":"10.2196/rehab.9009","title":"An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion","keywords":"Usability; Computer science; Service delivery framework; mHealth; Human–computer interaction; User-centered design; Service (business); World Wide Web; Medicine; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.008879664,0.0002740005,0.0004557069,0.0002197456,0.001649923,0.00004721286,0.0006362975,0.0004882549,0.00002243126],"category_scores_gemma":[0.009232849,0.0002413448,0.00003125841,0.000320115,0.002453644,0.001010062,0.0009122596,0.0006915085,0.000005300303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438179,"about_ca_system_score_gemma":0.000246889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163197,"about_ca_topic_score_gemma":0.001795981,"domain_scores_codex":[0.995174,0.002161966,0.001139496,0.0009655701,0.0002315892,0.0003274063],"domain_scores_gemma":[0.9881954,0.007395093,0.0009136436,0.00159546,0.001803848,0.00009650779],"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":[0.001006103,0.0004585503,0.2740855,0.0002796711,0.00008587688,8.287349e-8,0.01250974,9.975321e-7,0.0006124779,0.007903451,0.001134416,0.7019231],"study_design_scores_gemma":[0.003006158,0.002243656,0.707581,0.0003204019,0.0001186204,0.000001303399,0.1403167,0.09482633,0.0002275443,0.04982225,0.001193152,0.0003428729],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135751,0.0002210506,0.06905808,0.01008823,0.0001101476,0.00613544,0.0001335758,0.000606138,0.00007224418],"genre_scores_gemma":[0.8380489,0.0002560141,0.1591457,0.000268958,0.00002588369,0.0018186,0.0004095712,0.00001819489,0.000008225252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7015803,"threshold_uncertainty_score":0.9996498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3001884105545926,"score_gpt":0.5614618842428414,"score_spread":0.2612734736882488,"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."}}