{"id":"W4408079789","doi":"10.1007/978-981-96-2240-5_17","title":"Multiple Spacecraft Trajectory Optimization Control Based on Gaussian Pseudo-Spectral Method","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Trajectory optimization; Spacecraft; Trajectory; Computer science; Gaussian; Control theory (sociology); Control (management); Aerospace engineering; Physics; Engineering; Artificial intelligence; Astronomy","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002780288,0.001130087,0.001270122,0.001057696,0.00005737075,0.00007898209,0.0003593469,0.001236354,0.00006439674],"category_scores_gemma":[0.0004246024,0.00119589,0.0004077071,0.0004154641,0.00001843888,0.00006593746,0.000015887,0.00233942,0.00001530972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009900155,"about_ca_system_score_gemma":0.00009641884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001980807,"about_ca_topic_score_gemma":0.00002668912,"domain_scores_codex":[0.9970741,0.00004144742,0.0006944104,0.0007374695,0.0004775118,0.0009750632],"domain_scores_gemma":[0.9975728,0.001452415,0.00008875418,0.0006131454,0.00005111333,0.0002217878],"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":[0.00005646061,0.00001942882,0.00001476512,0.0002416,0.0001544412,0.00004990564,0.00002375819,0.9920626,0.0009002743,0.0008494987,0.00009221953,0.00553499],"study_design_scores_gemma":[0.001644431,0.0001352174,0.00002745463,0.0006274855,0.0001058057,0.000009726779,2.244875e-7,0.9931458,0.0005696341,0.00008273955,0.002602564,0.00104893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00000747309,0.002138882,0.9847305,0.000169511,0.0009118505,0.0007785571,0.00004245091,0.001421949,0.009798789],"genre_scores_gemma":[0.9127361,0.0001879839,0.08110964,0.0003492943,0.001448109,0.0003054369,0.0001495539,0.0008119498,0.002901977],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9127286,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003677753993785034,"score_gpt":0.1880859644583495,"score_spread":0.1844082104645645,"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."}}