{"id":"W2913889718","doi":"10.1016/j.asr.2019.01.022","title":"Dynamics and operation optimization of partial space elevator with multiple climbers","year":2019,"lang":"en","type":"article","venue":"Advances in Space Research","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Elevator; Libration (molecule); Control theory (sociology); Bounded function; Physics; Computer science; Transfer (computing); Space (punctuation); Work (physics); Dynamics (music); Mathematics; Simulation; Aerospace engineering; Mathematical analysis; Geometry; Control (management); Engineering; Acoustics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004044425,0.00008946629,0.0001699032,0.0001331533,0.0000268907,0.00002771036,0.00007144055,0.00005841364,0.00002147903],"category_scores_gemma":[0.00004142146,0.00007760082,0.00001220556,0.000300515,0.00005994081,0.0003567562,0.0000211848,0.0001778383,0.000008372029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009442311,"about_ca_system_score_gemma":0.00002382667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029597,"about_ca_topic_score_gemma":0.0006968735,"domain_scores_codex":[0.9990734,0.00006332613,0.0001375123,0.0001722607,0.0002854087,0.0002680713],"domain_scores_gemma":[0.9995038,0.0001548977,0.00002316355,0.0001806173,0.00008887644,0.00004863473],"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":[0.00007637122,0.00001129673,0.09339979,0.0001425531,0.00000874636,0.000001728849,0.0002202365,0.8988012,0.001407148,0.003781722,0.000004865998,0.002144362],"study_design_scores_gemma":[0.0008414204,0.0001332696,0.001286804,0.00009298389,0.000001959737,0.000001730398,0.001270682,0.9933094,0.00182646,0.00001982037,0.001111281,0.0001041326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133036,0.006725746,0.06832342,0.0003506632,0.0002408645,0.001394771,0.00001352902,0.00008509347,0.009562353],"genre_scores_gemma":[0.9944679,0.002070284,0.003111641,0.000001527784,0.00002872444,0.00003154141,0.000006437127,0.00002295205,0.0002589756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09450828,"threshold_uncertainty_score":0.316447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00787919954125204,"score_gpt":0.2781124986468431,"score_spread":0.2702332991055911,"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."}}