{"id":"W4384562179","doi":"10.1177/17298806231183571","title":"Assistive feeding robot for upper limb impairment—Testing and validation","year":2023,"lang":"en","type":"article","venue":"International Journal of Advanced Robotic Systems","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Identification (biology); Robot; Robotic arm; Software; Human–computer interaction; Degrees of freedom (physics and chemistry); Artificial intelligence; Simulation; Embedded system","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":[0.001466698,0.000115175,0.0002787362,0.0003432416,0.0003439893,0.00002313668,0.0003521117,0.0001218252,0.00001114819],"category_scores_gemma":[0.003415029,0.0000991416,0.00007936985,0.0001992716,0.00006736356,0.0002391549,0.000153721,0.0003628274,0.00001785275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003531293,"about_ca_system_score_gemma":0.0001374426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000153095,"about_ca_topic_score_gemma":0.000002809627,"domain_scores_codex":[0.9982768,0.0002045687,0.0008364543,0.000157856,0.0003019447,0.0002223945],"domain_scores_gemma":[0.9940424,0.00307196,0.0009953049,0.0001607166,0.001654157,0.0000754508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007890574,0.0002609017,0.83357,0.0004203479,0.0008559939,0.00003290574,0.001631084,0.1003683,0.01802729,0.009249389,0.005803306,0.02899142],"study_design_scores_gemma":[0.004773593,0.0007368638,0.9313998,0.002833539,0.0001140946,0.0001616846,0.01547489,0.03370475,0.0002843923,0.002809177,0.007334475,0.000372732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7114444,0.0009016161,0.252775,0.01154755,0.01785478,0.002510859,0.00006489766,0.0004705405,0.002430269],"genre_scores_gemma":[0.982068,0.0001027991,0.01654381,0.00008868325,0.0004218788,0.0001091652,0.00001485739,0.00001906236,0.0006317459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2706236,"threshold_uncertainty_score":0.4088355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033891596972185,"score_gpt":0.4446973321484864,"score_spread":0.341308172451268,"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."}}