{"id":"W4312102972","doi":"10.1093/geroni/igac059.568","title":"ASSESSING INNOVATIVE ASSISTIVE TECHNOLOGIES FOR OLDER ADULTS; A KNOWLEDGE AND TECH DEVELOPER'S PERSPECTIVES","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Autonomy; Scale (ratio); Knowledge management; Assistive technology; Health care; Quality (philosophy); Independence (probability theory); Psychology; Medical education; Process management; Computer science; Medicine; Engineering; Political science","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":[0.02966225,0.0002412496,0.0004067962,0.002906775,0.003855689,0.009949928,0.001034884,0.001724278,0.002676328],"category_scores_gemma":[0.03693203,0.0003217919,0.0002842349,0.001786143,0.003022006,0.004393538,0.005342493,0.002137458,0.0004554848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003681306,"about_ca_system_score_gemma":0.01238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006833035,"about_ca_topic_score_gemma":0.01467159,"domain_scores_codex":[0.9846853,0.007944956,0.001150228,0.0005490583,0.004787503,0.0008828997],"domain_scores_gemma":[0.9454353,0.02750644,0.003385277,0.0009132361,0.01867677,0.004082996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005917762,0.0009253716,0.1160774,0.001410633,0.00004323396,0.003636983,0.5415344,0.0003415114,0.002602041,0.01497622,0.02835735,0.2900357],"study_design_scores_gemma":[0.000018489,0.0005823867,0.04586979,0.00221616,0.00005731802,0.003284746,0.7700695,0.0006820631,0.002432796,0.004650293,0.1700672,0.00006920338],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7876555,0.008871481,0.007187243,0.07282992,0.0005232611,0.0002572519,0.0001924557,0.00009371406,0.1223892],"genre_scores_gemma":[0.9727964,0.006819379,0.005235552,0.006428491,0.0001807261,0.000112499,0.00006608466,0.00002855826,0.008332404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02966225,"threshold_uncertainty_score":0.1568708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282194505539018,"score_gpt":0.2941985232190411,"score_spread":0.2659790726651393,"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."}}