{"id":"W4318715454","doi":"10.2139/ssrn.4168069","title":"Development of a Skid-Steer Autonomous Robot with Advanced Model Predictive Controllers for Agricultural Applications","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Skid (aerodynamics); Model predictive control; Agriculture; Control engineering; Robot; Engineering; Autonomous robot; Computer science; Mobile robot; Artificial intelligence; Control (management); Geography; Mechanical engineering","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":[0.0001864902,0.000345003,0.0003485507,0.0002236193,0.0003463177,0.0002510166,0.0007541109,0.0004838855,0.002340397],"category_scores_gemma":[0.0001932896,0.0002645641,0.0003015507,0.0001193944,0.0002073953,0.000285614,0.0005079478,0.0004256019,0.001499964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464796,"about_ca_system_score_gemma":0.001186919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222237,"about_ca_topic_score_gemma":0.002594367,"domain_scores_codex":[0.9998708,0.000008384366,0.000004822484,0.00002291617,0.00007788997,0.00001534655],"domain_scores_gemma":[0.9998825,0.000009901308,0.0000107039,0.00001575398,0.00006130844,0.00001988612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002140482,0.0002059345,0.003135802,0.0005009122,0.00007372284,0.000557841,0.0003086214,0.08850569,0.5287218,0.006853079,0.005327371,0.3655952],"study_design_scores_gemma":[0.0001487726,0.002328368,0.006519401,0.00006656812,0.00009699432,0.00121473,0.0001409505,0.7147551,0.1979015,0.001461788,0.07527175,0.00009404868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1134571,0.000338573,0.867395,0.0002241464,0.0002215763,0.0004088869,0.0001727548,0.004542985,0.01323893],"genre_scores_gemma":[0.4539517,0.0002682634,0.5276598,0.00008853154,0.00002670711,0.0003095059,0.0003694428,0.000130654,0.01719538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002340397,"threshold_uncertainty_score":0.007829428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003743818570540398,"score_gpt":0.190929749615593,"score_spread":0.1871859310450526,"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."}}