{"id":"W4293108018","doi":"10.1016/j.ejor.2022.04.030","title":"Large satellite constellations and space debris: Exploratory analysis of strategic management of the space commons","year":2022,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Constellation; Space debris; Satellite constellation; Space (punctuation); Computer science; Satellite; Order (exchange); Space environment; Dimension (graph theory); Function (biology); Operations research; Commons; Telecommunications; Business; Debris; Aerospace engineering; Mathematics; Geography; Meteorology; Geology; Engineering; Political science; Law; Physics","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":[0.00321961,0.00008055599,0.0002215532,0.0003858,0.0002251867,0.00004550162,0.0002745833,0.00000972545,0.0001863058],"category_scores_gemma":[0.00001509243,0.00006267385,0.0001211346,0.0009971546,0.0000892048,0.00008252296,0.0001444581,0.0003543506,0.00000279084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005610091,"about_ca_system_score_gemma":0.00006526376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004411088,"about_ca_topic_score_gemma":0.0000168921,"domain_scores_codex":[0.9974886,0.0009972155,0.0004476591,0.00008848376,0.0008132733,0.0001647933],"domain_scores_gemma":[0.9991065,0.0001574099,0.0001178029,0.0002115505,0.0003363299,0.00007045198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001990233,0.0003383556,0.02638067,0.0003143559,0.007063231,0.0002605255,0.007531329,0.6949283,0.02209011,0.2356264,0.002649227,0.002618494],"study_design_scores_gemma":[0.00784567,0.001480001,0.3721777,0.0007748601,0.002243479,0.0002353555,0.2054688,0.1764801,0.004178779,0.001093331,0.2269207,0.001101246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539194,0.007117247,0.000760595,0.0006834589,0.0001748224,0.000249105,0.00008151225,0.000007703153,0.03700621],"genre_scores_gemma":[0.9989429,0.0004955308,0.0001679575,0.000008571583,0.00003621204,0.000002695877,0.000004031305,0.00001617899,0.0003259461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5184482,"threshold_uncertainty_score":0.2555766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06698386116944667,"score_gpt":0.2977494331048123,"score_spread":0.2307655719353657,"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."}}