{"id":"W4221127584","doi":"10.1080/10400435.2022.2047397","title":"Better together: Promoting interdisciplinary research in assistive technology","year":2022,"lang":"en","type":"editorial","venue":"Assistive Technology","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Assistive technology; Engineering; Engineering management; Engineering ethics; Knowledge management; Medical education; Computer science; Medicine; Human–computer interaction","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":[0.03268926,0.006325429,0.007033066,0.01430554,0.01074447,0.0271095,0.007225297,0.04815415,0.01975843],"category_scores_gemma":[0.07519953,0.002250541,0.00497971,0.006301092,0.008635769,0.01575164,0.00711245,0.03766839,0.0114914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007624601,"about_ca_system_score_gemma":0.01209278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004056495,"about_ca_topic_score_gemma":0.01625758,"domain_scores_codex":[0.964186,0.008563538,0.004044444,0.002697928,0.01895947,0.001548735],"domain_scores_gemma":[0.8641039,0.06718777,0.005056097,0.003443985,0.04426594,0.01594228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002474709,0.00001797471,0.00001320384,0.0003819731,0.0000182244,0.00007316974,0.00004203596,0.00001769317,0.00005184881,0.0006050493,0.9927986,0.005955526],"study_design_scores_gemma":[0.00008369843,0.00002980932,0.0002264343,0.001147949,0.00007844219,0.0002181894,0.0002110074,0.0001548954,0.00007240485,0.002676278,0.9950657,0.0000351669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001134573,0.006604477,0.0001082558,0.02208139,0.9701342,0.00001646024,0.00001255192,0.0000225642,0.001008685],"genre_scores_gemma":[0.0001617708,0.003559293,0.0001118501,0.01197768,0.9804173,0.00002605538,0.000009942749,0.00002702634,0.003709105],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04815415,"threshold_uncertainty_score":0.1728794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396967045544007,"score_gpt":0.3353804749176546,"score_spread":0.3014108044622145,"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."}}