{"id":"W3146370583","doi":"10.1109/icra46639.2022.9811960","title":"A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Robotics and Automation (ICRA)","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Activities of daily living; Robotics; Task (project management); Artificial intelligence; Computer science; Independent living; Human–computer interaction; Perspective (graphical); Rehabilitation robotics; Robot; Psychology; Medicine; Engineering; Gerontology","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":[0.001335206,0.000500066,0.0002808173,0.003888881,0.0002878711,0.001104585,0.0002860372,0.0002774513,0.001581322],"category_scores_gemma":[0.006875714,0.00008945428,0.0003350101,0.002990158,0.0004727634,0.001083558,0.0006847548,0.000267847,0.0004007702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551235,"about_ca_system_score_gemma":0.0003129898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297153,"about_ca_topic_score_gemma":0.0042174,"domain_scores_codex":[0.9989676,0.0003164776,0.0001476335,0.0001691779,0.0003417627,0.00005729764],"domain_scores_gemma":[0.9969147,0.001339875,0.0006605313,0.0002268951,0.0007282195,0.0001296942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005443353,0.0005269777,0.3580559,0.001793821,0.0002254712,0.0002374656,0.005467604,0.01640349,0.0140784,0.0111991,0.005811473,0.585656],"study_design_scores_gemma":[0.00001849234,0.0006724012,0.8827626,0.0002885768,0.00008536067,0.0006330606,0.008594136,0.06893252,0.003738299,0.01620077,0.01795199,0.0001217827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7500691,0.002612352,0.2187692,0.0007587126,0.00008831426,0.0003375238,0.008013844,0.0005027546,0.01884815],"genre_scores_gemma":[0.964283,0.0004271308,0.03200794,0.00003656467,0.00002469851,0.0001377199,0.002144377,0.00002623197,0.0009122758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003888881,"threshold_uncertainty_score":0.007061303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07713444463017848,"score_gpt":0.3753752473613126,"score_spread":0.2982408027311341,"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."}}