{"id":"W4402423742","doi":"10.24908/iqurcp18056","title":"2D Path Following Control of Motor Graders","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Control (management); Psychology; Computer science; Artificial intelligence; Computer network","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":[0.0001482064,0.0002861504,0.0002124923,0.0001269011,0.0001755851,0.0004432975,0.0003176738,0.0002665627,0.001003793],"category_scores_gemma":[0.000346532,0.0001659935,0.0001579342,0.00008788834,0.0002671423,0.0001935783,0.0002821142,0.0001810937,0.0001336742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838089,"about_ca_system_score_gemma":0.0004377826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006320566,"about_ca_topic_score_gemma":0.004891105,"domain_scores_codex":[0.9999379,0.00001330741,0.000002898124,0.00001529238,0.00002189669,0.000008652167],"domain_scores_gemma":[0.9998966,0.00003498931,0.00002481024,0.00001136106,0.00002332738,0.00000883643],"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":[0.0001914977,0.00004683356,0.001431807,0.00007779386,0.00001968784,0.000185986,0.0002364809,0.8989735,0.05213549,0.002363023,0.0003583623,0.04397957],"study_design_scores_gemma":[0.00001484915,0.0001014053,0.0007878857,0.000005138142,0.000004717233,0.00002432629,0.00002470548,0.9942695,0.003520628,0.0004148765,0.0008260843,0.000005834546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4794811,0.0001700211,0.511226,0.0001175893,0.00002730964,0.00009968355,0.000109543,0.0007049225,0.008063825],"genre_scores_gemma":[0.9897215,0.00004936975,0.009123007,0.000008075971,0.000001673464,0.0000267474,0.00002347733,0.00000688638,0.001039331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006320566,"threshold_uncertainty_score":0.01256758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110482422191292,"score_gpt":0.3745585734061161,"score_spread":0.2640761512148241,"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."}}