{"id":"W4242891668","doi":"10.32920/ryerson.14656593","title":"Adaptive PD Sliding Mode Control For 4 DOF SCARA Variant","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"SCARA; Control theory (sociology); Controller (irrigation); Trajectory; Adaptive control; Computer science; A priori and a posteriori; Tracking (education); Control engineering; Robot; Engineering; Control (management); Artificial intelligence; Physics","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":[0.0002661351,0.000382156,0.0003243755,0.0002222355,0.0001842125,0.0002928419,0.0006533101,0.0003152607,0.001113386],"category_scores_gemma":[0.0003413562,0.0001147439,0.0003338327,0.0001548618,0.0003341314,0.0002284156,0.0003868974,0.0003536292,0.0002094737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613377,"about_ca_system_score_gemma":0.0001867934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161705,"about_ca_topic_score_gemma":0.0009633325,"domain_scores_codex":[0.9998643,0.00002578833,0.000009705827,0.00003539099,0.00005079684,0.00001397583],"domain_scores_gemma":[0.9998503,0.00003340083,0.00003334946,0.0000326253,0.00003980844,0.00001051792],"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":[0.0005360017,0.0001106491,0.001756167,0.0003613846,0.00007631584,0.0005054604,0.0002434382,0.5504242,0.129565,0.01809882,0.001837296,0.2964853],"study_design_scores_gemma":[0.00003645576,0.0004022307,0.000786015,0.000007500061,0.00001119785,0.00009532421,0.00001275779,0.9871559,0.006187675,0.001236591,0.004054507,0.00001396017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1293108,0.0004661093,0.8620538,0.00009052173,0.0001308846,0.00007524394,0.0000615254,0.0008755635,0.006935564],"genre_scores_gemma":[0.9434395,0.0001407543,0.05301705,0.00002570934,0.00002433577,0.00006312953,0.00008073436,0.00001570531,0.003193176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001161705,"threshold_uncertainty_score":0.003724635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936197239656936,"score_gpt":0.2518421676335879,"score_spread":0.2224801952370185,"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."}}