{"id":"W3214795384","doi":"","title":"시니어 생활 보조용 실내 이승 및 이동기기 사용성평가 및 개선방안에 관한 연구","year":2021,"lang":"ko","type":"article","venue":"재활복지공학회논문지","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; Product (mathematics); Computer science; Human–computer interaction; Business; Mathematics; Marketing; Service (business)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00688411,0.000280071,0.0003142782,0.002677367,0.002167524,0.005375265,0.0005688493,0.0006155951,0.006085091],"category_scores_gemma":[0.01427718,0.0002578967,0.0004511096,0.002509632,0.002914939,0.003007078,0.0008103166,0.001063226,0.0007967349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01014734,"about_ca_system_score_gemma":0.0140578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1378543,"about_ca_topic_score_gemma":0.2072602,"domain_scores_codex":[0.9959379,0.001269434,0.0002928383,0.000370398,0.001762407,0.0003670184],"domain_scores_gemma":[0.9825052,0.006113943,0.001562086,0.0003747554,0.008124446,0.00131959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000254207,0.0002729952,0.4453162,0.001054246,0.0002450751,0.0002443205,0.04419508,0.001010376,0.001217657,0.07169705,0.02703394,0.4074588],"study_design_scores_gemma":[0.0001030578,0.0002636567,0.7745029,0.001112064,0.0002775795,0.0003585454,0.0475485,0.002765378,0.001511453,0.0396701,0.1317213,0.0001654814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5996269,0.006949573,0.01388636,0.01494469,0.0003205237,0.0005912835,0.002597674,0.0001951094,0.3608879],"genre_scores_gemma":[0.9867148,0.001021896,0.004073025,0.0005131631,0.00004430233,0.0001680614,0.0002863623,0.00001968583,0.007158546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1378543,"threshold_uncertainty_score":0.2741038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752772228022713,"score_gpt":0.2869010979665186,"score_spread":0.2693733756862915,"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."}}