{"id":"W4391055221","doi":"10.2316/j.2023.201-0349","title":"PREDICTION AND ANALYSIS OF ROBOTIC ARM TRAJECTORY BASED ON ADAPTIVE CONTROL, 1-9. SI","year":2023,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Robotic arm; Computer science; Adaptive control; Control (management); Control theory (sociology); Physical medicine and rehabilitation; Artificial intelligence; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003270697,0.0003767129,0.0002850572,0.0005935119,0.0003427156,0.000426033,0.0003315535,0.0003517978,0.002840109],"category_scores_gemma":[0.001048677,0.000172567,0.0003385656,0.0004266461,0.0002611963,0.0004246305,0.0002215334,0.0003807398,0.0004623633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005110572,"about_ca_system_score_gemma":0.0005938692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637646,"about_ca_topic_score_gemma":0.007196455,"domain_scores_codex":[0.9998722,0.0000168352,0.00000669294,0.00003296247,0.00005770635,0.0000135894],"domain_scores_gemma":[0.9997274,0.00009929477,0.00003300082,0.00002086399,0.0001098515,0.000009505133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008910153,0.00003698853,0.002814575,0.00009022666,0.00003951195,0.000123234,0.00006934067,0.8509421,0.008159618,0.007650864,0.002286162,0.1276983],"study_design_scores_gemma":[8.000467e-7,0.000005711967,0.000317884,0.000001889007,0.000001364723,0.000007401005,0.000002553515,0.9987358,0.0003282535,0.0003855612,0.0002106303,0.000002056875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04458866,0.0004226149,0.9472276,0.0001968029,0.00009133406,0.00004621739,0.0000796708,0.0006771133,0.006669957],"genre_scores_gemma":[0.9173985,0.000483331,0.07017147,0.00003779666,0.00003340888,0.00008529126,0.0002688326,0.00008191679,0.01143958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01637646,"threshold_uncertainty_score":0.03256232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598808339189447,"score_gpt":0.198810806507014,"score_spread":0.1828227231151196,"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."}}