{"id":"W3158948048","doi":"10.82308/54127","title":"Incentivizing ‘Active Debris Removal’ following the failure of mitigation measures to solve the space debris problem: current challenges and future strategies","year":2020,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Aerospace Exploration Agency; U.S. Department of Commerce; McGill University; U.S. Department of State; Indian Space Research Organisation; UK Space Agency; National Aeronautics and Space Administration","keywords":"Debris; Current (fluid); Space debris; Space (punctuation); Risk analysis (engineering); Forensic engineering; Environmental science; Computer science; Geology; Engineering; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007228803,0.0007164429,0.0007906616,0.001037804,0.001363257,0.006734484,0.002883161,0.004876593,0.01101544],"category_scores_gemma":[0.01385552,0.0002664982,0.0005817947,0.001069753,0.002603528,0.00599723,0.00422339,0.003609156,0.00145066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002033141,"about_ca_system_score_gemma":0.00777395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814822,"about_ca_topic_score_gemma":0.003229536,"domain_scores_codex":[0.9961365,0.001763012,0.0001495991,0.0003855407,0.0007417977,0.0008235181],"domain_scores_gemma":[0.9836988,0.01028595,0.001969624,0.0006176811,0.001800234,0.001627644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002113562,0.001126351,0.007313858,0.003433687,0.0001556182,0.0004485456,0.001346742,0.04164794,0.003115336,0.493641,0.05986444,0.3876952],"study_design_scores_gemma":[0.0001530704,0.001025034,0.009871776,0.005921118,0.0001248274,0.000493301,0.01236009,0.08924527,0.003775496,0.4260795,0.4507294,0.0002210348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09256342,0.07494497,0.2152053,0.3829048,0.004530335,0.001347591,0.0005332712,0.001351347,0.2266189],"genre_scores_gemma":[0.8870555,0.03743241,0.04022308,0.01372661,0.001425574,0.0007281026,0.0001884651,0.0001213106,0.01909894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101544,"threshold_uncertainty_score":0.03823006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595291963031093,"score_gpt":0.2104567424390111,"score_spread":0.1945038228087001,"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."}}