{"id":"W3011141019","doi":"10.2514/1.g004614","title":"Capturing an Asteroid via Triangular Libration Points","year":2020,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asteroid; Libration (molecule); Lagrangian point; Orbit (dynamics); Chaotic; Physics; Lyapunov function; Celestial mechanics; Equilibrium point; Classical mechanics; Computer science; Geometry; Mathematics; Aerospace engineering; Astrobiology; Nonlinear system; Point (geometry); Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001364579,0.0002683795,0.0002728431,0.0003731798,0.0003781789,0.0003059676,0.0005480194,0.000263224,0.001758695],"category_scores_gemma":[0.0003360361,0.0001460836,0.000296179,0.0003133585,0.0004533209,0.0008804788,0.0008097925,0.000238456,0.0003230892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525024,"about_ca_system_score_gemma":0.0002486017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319677,"about_ca_topic_score_gemma":0.0009786983,"domain_scores_codex":[0.9998933,0.00001215708,0.000005630369,0.00002508088,0.00004171451,0.0000221099],"domain_scores_gemma":[0.9998833,0.00002132178,0.00002450508,0.00003103952,0.00002298321,0.00001676921],"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":[0.0005622228,0.00008667913,0.008919656,0.0002811505,0.0001297117,0.001346575,0.001005534,0.3718678,0.2289785,0.1151205,0.002301557,0.2694001],"study_design_scores_gemma":[0.00002276617,0.0003107385,0.001396813,0.00001307117,0.00002297245,0.0006391786,0.0001375039,0.9560872,0.02592029,0.01082155,0.004587283,0.00004059051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2901891,0.0002965362,0.695875,0.00009733065,0.00004976415,0.0000933976,0.00005110626,0.0005163585,0.01283143],"genre_scores_gemma":[0.9588479,0.0001369367,0.03749837,0.00002539943,0.000008899251,0.00002591644,0.00004560179,0.00001743348,0.003393506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001758695,"threshold_uncertainty_score":0.005883396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006149212652604113,"score_gpt":0.1965412547892877,"score_spread":0.1903920421366836,"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."}}