{"id":"W1523389231","doi":"10.2514/1.g000903","title":"Reliability-Based Soft Landing Trajectory Optimization near Asteroid with Uncertain Gravitational Field","year":2015,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Trajectory optimization; Trajectory; Optimal control; Control theory (sociology); Gravitational field; Optimization problem; Reliability (semiconductor); Boundary value problem; Computer science; Mathematical optimization; Mathematics; Physics; Mathematical analysis; Control (management); Classical mechanics","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":[0.000593161,0.0008224992,0.0007723505,0.0004718099,0.0003976664,0.0005355518,0.0005082827,0.0005147885,0.0009056039],"category_scores_gemma":[0.001089153,0.0004626741,0.0005594981,0.0002760094,0.0005212995,0.0005839947,0.0006616495,0.000623845,0.0001354345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629374,"about_ca_system_score_gemma":0.001006372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007479275,"about_ca_topic_score_gemma":0.002800673,"domain_scores_codex":[0.9997807,0.00005743195,0.000009242574,0.0000472653,0.00006726011,0.00003804337],"domain_scores_gemma":[0.9995463,0.000212804,0.00009325079,0.00002784176,0.00008960933,0.00003012348],"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":[0.00001829716,0.000004122136,0.0001852944,0.00001701873,0.00000716448,0.00002634698,0.00002228119,0.9920547,0.000922129,0.001662599,0.00008232095,0.004997754],"study_design_scores_gemma":[0.000002455804,0.00001180803,0.00005163018,0.000001458823,0.000001793306,0.000003457358,0.000004244446,0.9990951,0.0001631881,0.0005986062,0.00006471369,0.000001696734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04685246,0.000181286,0.9504793,0.0001079312,0.00001624971,0.00001891298,0.00002059105,0.0001217325,0.002201461],"genre_scores_gemma":[0.9495269,0.0001527109,0.04824396,0.00002202821,0.00001309386,0.00006520123,0.00005841379,0.0000469325,0.001870696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007479275,"threshold_uncertainty_score":0.01487148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00541745003008289,"score_gpt":0.2018130149907021,"score_spread":0.1963955649606192,"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."}}