{"id":"W971864676","doi":"","title":"Design of a Multiple-User Intelligent Feeding Robot for Elderly and Disabled","year":2007,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Child Nutrition and Feeding Issues","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Meal preparation; Service (business); Activities of daily living; Elderly people; Population; Robot; Personal care; Independence (probability theory); Gerontology; Nursing; Medicine; Computer science; Psychology; Business; Marketing; Physical therapy; Artificial intelligence; Environmental health; Family medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002396922,0.00008593656,0.000252277,0.0001579097,0.00006997961,0.000004313844,0.00006121771,0.00007371775,0.00003922978],"category_scores_gemma":[0.00004204769,0.0000890122,0.00007115461,0.00009815022,0.0001178338,0.00007643062,0.00003355792,0.0000615766,0.000002171816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000283216,"about_ca_system_score_gemma":0.0000108986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119518,"about_ca_topic_score_gemma":0.0004919888,"domain_scores_codex":[0.9994624,0.000009637373,0.00009970288,0.0001533664,0.0001123713,0.0001625169],"domain_scores_gemma":[0.9994614,0.0001434187,0.00007494204,0.0001000223,0.0001191506,0.0001010842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009716788,0.001056208,0.0750761,0.001709569,0.00047835,0.00006112234,0.1748839,0.0001531084,0.7133749,0.001282948,0.004411958,0.01779511],"study_design_scores_gemma":[0.03092599,0.007652919,0.1207867,0.002358575,0.001202286,0.00009545428,0.3603904,0.009247248,0.4571408,0.0007703683,0.00842823,0.001000979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957188,0.00009535751,0.04001695,0.002050839,0.00005113939,0.000487961,0.000005636186,0.00003473494,0.0000694296],"genre_scores_gemma":[0.9422488,0.0001191906,0.04209357,0.00002824128,0.00003520065,1.830806e-7,0.000009476655,0.00001063129,0.01545466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256234,"threshold_uncertainty_score":0.3629812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109547878380291,"score_gpt":0.2437203663505552,"score_spread":0.2126248875667522,"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."}}