{"id":"W63740427","doi":"","title":"The Maximum Principle of Pontryagin in control and in optimal control","year":2006,"lang":"en","type":"article","venue":"","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Optimal control; Pontryagin's minimum principle; Control (management); Maximum principle; Mathematics; Control theory (sociology); Computer science; Mathematical optimization; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002413244,0.0001038723,0.0002146096,0.00007054431,0.00001716404,0.00001945528,0.00009296011,0.00005291715,0.000006285406],"category_scores_gemma":[0.00001754174,0.00007685649,0.0000307367,0.00008034136,0.00003596201,0.00005799573,0.00001355362,0.0001102185,0.000001809703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003158326,"about_ca_system_score_gemma":0.00001002915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003358849,"about_ca_topic_score_gemma":0.004162798,"domain_scores_codex":[0.9992632,0.00002034391,0.0002937197,0.00009989299,0.0000832993,0.0002395252],"domain_scores_gemma":[0.999608,0.0001972943,0.000021536,0.0001320833,0.00001533827,0.0000257933],"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":[0.0001603947,0.00004763752,0.04595147,0.00002295296,0.00002044022,0.00001487431,0.00001807575,0.9361149,0.004246973,0.007747359,0.00004547754,0.00560945],"study_design_scores_gemma":[0.004301176,0.00001775324,0.1874245,0.00001052656,0.000005062955,0.000002865648,0.00001418867,0.8066613,0.00003731337,0.0007484126,0.0006832884,0.00009362233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732097,0.002074174,0.01770069,0.0003787789,0.00009198378,0.0004871214,0.00001274419,0.0000673761,0.005977459],"genre_scores_gemma":[0.9995785,0.00003644588,0.0001897797,0.00002186143,0.00002242716,0.00003634013,0.000001080638,0.00001170849,0.0001019047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141473,"threshold_uncertainty_score":0.3134117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001826591377059358,"score_gpt":0.1773634437678599,"score_spread":0.1755368523908006,"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."}}