{"id":"W4394130428","doi":"10.6084/m9.figshare.21087457","title":"PARAMETER OPTIMIZATION OF TRACTOR'S STEERING TRAPEZOID MECHANISM BASED ON IMPROVED ADAPTIVE DIRECTION STRATEGY TEACHING-LEARNING-BASED OPTIMIZATION","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Tractor; Mechanism (biology); Computer science; Control theory (sociology); Control engineering; Engineering; Simulation; Artificial intelligence; Automotive engineering; Physics; Control (management)","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":[0.0005723221,0.0005927252,0.0006935152,0.0005371924,0.0003052854,0.00042465,0.0005946874,0.0005263471,0.001568627],"category_scores_gemma":[0.0007336113,0.0003058947,0.0005799372,0.0004063714,0.0003047675,0.0003737471,0.0004412424,0.000318894,0.0001783774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037496,"about_ca_system_score_gemma":0.0008874878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004676573,"about_ca_topic_score_gemma":0.00356734,"domain_scores_codex":[0.9997754,0.00004238533,0.00001342678,0.00003669216,0.0001030758,0.00002907747],"domain_scores_gemma":[0.9997539,0.0000783967,0.0000268942,0.00002133838,0.0001027738,0.00001666873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006581809,0.00006596027,0.001124174,0.0001547371,0.00003298497,0.0000475776,0.00004752831,0.9325137,0.01610161,0.001966489,0.0004266039,0.04745284],"study_design_scores_gemma":[0.00001556329,0.00004758672,0.0002026006,0.000005097811,0.00000797782,0.000008453575,0.000007726338,0.9975031,0.001595288,0.0002298386,0.0003711229,0.00000574497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.146541,0.0004011478,0.8417764,0.0001173134,0.00004772406,0.0001404512,0.00003992289,0.0004639686,0.01047202],"genre_scores_gemma":[0.877376,0.0001697894,0.1193383,0.00004119125,0.000008251034,0.0002111974,0.00007120876,0.00005915626,0.002724811],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.004676573,"threshold_uncertainty_score":0.009298742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662779800699882,"score_gpt":0.2198526593422294,"score_spread":0.2032248613352306,"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."}}