{"id":"W2026680272","doi":"10.1115/1.4002492","title":"A Manipulator for Medical Applications: Design and Control","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University","funders":"","keywords":"Robot; Workspace; USable; Computer science; Simulation; Robot control; Control engineering; Articulated robot; Teleoperation; Mobile robot; Engineering; Artificial intelligence","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":[0.0009152767,0.00006641583,0.0001603277,0.00004548213,0.00004134427,0.00002866382,0.0002514499,0.0001581824,0.0001288382],"category_scores_gemma":[0.0002940299,0.00005003217,0.00004370317,0.00005775035,0.00005240303,0.0000502958,0.00001023918,0.0003258836,0.000004615171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005793561,"about_ca_system_score_gemma":0.00007180882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.479498e-7,"about_ca_topic_score_gemma":0.000007235398,"domain_scores_codex":[0.9990044,0.000009550549,0.0003256493,0.00005873102,0.0004932587,0.0001083634],"domain_scores_gemma":[0.9988177,0.0006160988,0.00006779255,0.00007155858,0.00007399521,0.0003528147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001283048,0.0007364355,0.007097133,0.001319167,0.001166168,0.00009539111,0.0004495448,0.00453886,0.0137024,0.138217,0.05066741,0.7818822],"study_design_scores_gemma":[0.003372828,0.0001269122,0.004060199,0.0001696571,0.0001698888,0.0006543967,0.00007281263,0.5875965,0.000638402,0.008434759,0.3944263,0.0002774407],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01291482,0.0009886022,0.980982,0.004578486,0.0002244307,0.0002302861,0.000002014039,0.00002902471,0.00005036065],"genre_scores_gemma":[0.9756616,0.0002760579,0.0226752,0.0004776664,0.0008182453,0.00007047848,8.246643e-7,0.00001516773,0.000004753232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9627468,"threshold_uncertainty_score":0.2040253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212595940084787,"score_gpt":0.2749204674907684,"score_spread":0.2627945080899205,"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."}}