{"id":"W4401653940","doi":"10.2196/54083","title":"Integrating Digital Assistive Technologies Into Care Processes: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Assistive technology; Human–computer interaction; Multimethodology; Psychology; Mathematics education","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"],"consensus_categories":[],"category_scores_codex":[0.001158747,0.0001856339,0.0002581664,0.0002425259,0.0006097389,0.00004551479,0.0006373204,0.0005328863,0.0002877148],"category_scores_gemma":[0.01797819,0.0001398392,0.0000490825,0.000938582,0.0003714766,0.0002339517,0.0004906795,0.00185653,0.0001774166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000582862,"about_ca_system_score_gemma":0.005397177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008056995,"about_ca_topic_score_gemma":0.0003091776,"domain_scores_codex":[0.997678,0.0006542056,0.0005808134,0.0004697262,0.0003485538,0.0002686496],"domain_scores_gemma":[0.9967279,0.001734889,0.0001411927,0.0006811506,0.0006036077,0.0001112349],"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":[0.00001067504,0.0005856266,0.04593981,0.0006830272,0.00003778765,0.000001715773,0.02489081,1.357455e-8,0.00001092227,0.002443844,0.009468568,0.9159272],"study_design_scores_gemma":[0.0002224209,0.0001760566,0.03332137,0.001113783,0.00003371146,0.000002521512,0.8316641,0.00009238809,0.00004928988,0.003805956,0.1293178,0.0002005947],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7802611,0.0140165,0.05721393,0.05801241,0.00853736,0.009215473,0.00003642997,0.01194932,0.06075748],"genre_scores_gemma":[0.9852104,0.00004401599,0.008570958,0.0002532354,0.0001186103,0.005093621,0.000088052,0.00002355134,0.0005976078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9157266,"threshold_uncertainty_score":0.9902938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615354322339305,"score_gpt":0.5473828467113027,"score_spread":0.5012293034879096,"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."}}