{"id":"W4402614182","doi":"10.23977/acss.2024.080601","title":"Application of Robot Dynamic Tracking Predictive Control in Mechanical Control Engineering Course","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Model predictive control; Control (management); Tracking (education); Control engineering; Robot control; Computer science; Robot; Engineering; Artificial intelligence; Mobile robot; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004935676,0.0001212818,0.0002807042,0.0001440106,0.00001650691,0.00007775511,0.0002356391,0.00006409159,3.30885e-7],"category_scores_gemma":[0.00001084085,0.0001110139,0.00003172535,0.0002556667,0.0000198199,0.0006042384,0.00002864907,0.0001332164,0.000001346729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005295444,"about_ca_system_score_gemma":0.00003777676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000274887,"about_ca_topic_score_gemma":0.00001000548,"domain_scores_codex":[0.9988328,0.00007309746,0.0004080799,0.0003461281,0.0001602615,0.0001796716],"domain_scores_gemma":[0.999118,0.0005310547,0.00008216303,0.0001731421,0.00004970019,0.00004599495],"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":[0.00001011174,0.00008236725,0.00161613,0.0002620381,0.00002441361,0.00001014622,0.0009598303,0.8257003,0.002355377,0.009352457,0.000004953493,0.1596218],"study_design_scores_gemma":[0.0004665692,0.00008373845,0.002166712,0.0003896515,0.000006490275,0.00001191762,0.00002672491,0.9960685,0.0000485307,0.0004396977,0.0001862756,0.000105201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004149642,0.01395197,0.979802,0.0001220311,0.001404162,0.0004922207,0.000005774358,0.0000648161,0.000007380005],"genre_scores_gemma":[0.9930668,0.0001668233,0.006472352,0.00002526168,0.0001250268,0.0001320552,0.00000206317,0.000008026122,0.000001517627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9889172,"threshold_uncertainty_score":0.4527016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005569767966435708,"score_gpt":0.2627596620117137,"score_spread":0.257189894045278,"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."}}