{"id":"W3027635815","doi":"","title":"고령자를 위한 일어서기 보조기기 개발 및 평가","year":2019,"lang":"ko","type":"article","venue":"The Journal of Korean Society of Occupational Therapy","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sitting; Usability; Assistive device; Assistive technology; Statistical significance; Physical therapy; Test (biology); Statistical analysis; Physical medicine and rehabilitation; Psychology; Computer science; Simulation; Applied psychology; Medicine; Human–computer interaction; Mathematics; Statistics","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":[0.0002970061,0.000304987,0.0002155397,0.000153938,0.0002025691,0.0004831117,0.000244977,0.0003326661,0.002996052],"category_scores_gemma":[0.0006599249,0.00005935462,0.0002130526,0.00008264551,0.0001991349,0.0003611565,0.0002132831,0.0001767082,0.0005906685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226228,"about_ca_system_score_gemma":0.0004293421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009009624,"about_ca_topic_score_gemma":0.001625605,"domain_scores_codex":[0.999841,0.0000391385,0.00001453674,0.0000237579,0.00005809305,0.00002348456],"domain_scores_gemma":[0.9997074,0.00005770168,0.00004436098,0.000007969011,0.0001540318,0.00002862003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002474526,0.002021104,0.2150184,0.005535522,0.0001302327,0.004819614,0.008328118,0.001080275,0.2907904,0.002748455,0.007445696,0.4596076],"study_design_scores_gemma":[0.0002818127,0.01600215,0.7883028,0.00174831,0.0004711484,0.009446457,0.01781571,0.008759788,0.06849912,0.001477465,0.0870463,0.0001489448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758211,0.002163941,0.007859237,0.000419827,0.00009555187,0.000380154,0.0002353762,0.00006996553,0.01295491],"genre_scores_gemma":[0.9772356,0.001666593,0.008254544,0.0003218126,0.00007114985,0.0002191628,0.0002554281,0.000004997796,0.01197057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002996052,"threshold_uncertainty_score":0.01002282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423173314934542,"score_gpt":0.4529042437528324,"score_spread":0.3105869122593783,"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."}}