{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02954534,0.001150562,0.0008846287,0.001641585,0.0009184832,0.001916981,0.0008818103,0.0009730537,0.001852104],"category_scores_gemma":[0.0332118,0.000589206,0.001506745,0.0007681956,0.0009387683,0.001238371,0.001599942,0.0006981539,0.0002759926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079181,"about_ca_system_score_gemma":0.002211683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008674609,"about_ca_topic_score_gemma":0.001166744,"domain_scores_codex":[0.9855618,0.01021305,0.001595714,0.0006483637,0.001505672,0.0004753906],"domain_scores_gemma":[0.9655493,0.02526356,0.001383232,0.001308742,0.005698498,0.0007966784],"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":[0.01137693,0.02683931,0.04683598,0.01687934,0.0009401501,0.001059805,0.06079793,0.007645994,0.06608904,0.003198055,0.004851507,0.753486],"study_design_scores_gemma":[0.0209989,0.2737336,0.3226682,0.008571216,0.006111674,0.002528876,0.05187434,0.08090054,0.152024,0.008313909,0.07057766,0.001696993],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112688,0.0006359688,0.05438716,0.0002567582,0.0000849553,0.03014994,0.0003112009,0.0005651533,0.00234007],"genre_scores_gemma":[0.6536939,0.0007915845,0.3015498,0.000328708,0.0000642236,0.04160455,0.000423458,0.0001211372,0.001422677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02954534,"threshold_uncertainty_score":0.1562526,"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."}}