{"id":"W2773037186","doi":"","title":"Usability of Movement-To-Music Technology for Children With Physical Disabilities","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Usability; Standardization; Computer science; USable; Multimedia; Human–computer interaction; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006080654,0.0005953313,0.000543926,0.001360848,0.0005293826,0.0008020457,0.000508936,0.0004594878,0.001454316],"category_scores_gemma":[0.02893332,0.0001775246,0.0008146282,0.0005467148,0.0006102194,0.0007000697,0.0009401785,0.000271972,0.000351118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004830889,"about_ca_system_score_gemma":0.000644221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566156,"about_ca_topic_score_gemma":0.004501415,"domain_scores_codex":[0.9944826,0.002814394,0.0007030533,0.0003083298,0.001307549,0.0003841836],"domain_scores_gemma":[0.9840661,0.01205681,0.0008616707,0.0005836884,0.002075101,0.0003566307],"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":[0.003277456,0.003810746,0.4245812,0.004298606,0.0002565699,0.002502418,0.04859452,0.002016301,0.03517603,0.0003064593,0.001771957,0.4734078],"study_design_scores_gemma":[0.000186282,0.01896361,0.9242347,0.0005833418,0.0003287034,0.003167794,0.02517668,0.002366545,0.0180887,0.0001993271,0.006560274,0.0001440601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968675,0.0002251567,0.001259592,0.00003489682,0.000005195251,0.0001974454,0.0000704591,0.00004437342,0.001295449],"genre_scores_gemma":[0.9948165,0.0003408008,0.003987339,0.0000321147,0.000008025941,0.0002590236,0.00009520708,0.00001501607,0.0004460292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006080654,"threshold_uncertainty_score":0.03215796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06793563522503543,"score_gpt":0.4177479432655439,"score_spread":0.3498123080405084,"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."}}