{"id":"W3113712059","doi":"10.1016/j.asr.2020.11.006","title":"Fuzzy multi-criteria decision-making approach to prioritization of space debris for removal","year":2020,"lang":"en","type":"article","venue":"Advances in Space Research","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundación Séneca","keywords":"Space debris; Debris; Computer science; Weighting; Pairwise comparison; Operations research; Fuzzy logic; Multiple-criteria decision analysis; Object (grammar); Analytic hierarchy process; Field (mathematics); Process (computing); Data mining; Risk analysis (engineering); Artificial intelligence; Mathematics; Geography; Business","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":[0.007025767,0.001627612,0.002474839,0.003488251,0.001336154,0.003274719,0.002821861,0.001745658,0.002836123],"category_scores_gemma":[0.006021395,0.0008614656,0.002116151,0.002107958,0.001157369,0.001434597,0.00121091,0.00139,0.0002181445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003569317,"about_ca_system_score_gemma":0.00333912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01138312,"about_ca_topic_score_gemma":0.0110517,"domain_scores_codex":[0.996111,0.001781261,0.0002686462,0.0004052973,0.001074127,0.0003597033],"domain_scores_gemma":[0.9963869,0.002194585,0.0002919224,0.00007495959,0.0007739871,0.000277642],"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":[0.0004962081,0.0003669528,0.001770875,0.0006114183,0.0006581844,0.0004472568,0.000370703,0.9184988,0.003787024,0.01532073,0.00169835,0.05597343],"study_design_scores_gemma":[0.00005461658,0.0002104612,0.000555622,0.00006700659,0.0001172411,0.00005585347,0.0001180272,0.9874463,0.0008201997,0.009753317,0.0007632237,0.00003817702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07330552,0.0015532,0.916174,0.0007401857,0.0002019058,0.0004284945,0.0002523084,0.0001583322,0.007186034],"genre_scores_gemma":[0.7991357,0.000474157,0.1979152,0.0001396434,0.00008533796,0.0003199615,0.0001816163,0.00002438272,0.001723911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01138312,"threshold_uncertainty_score":0.03715622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610066953841194,"score_gpt":0.3755801367293057,"score_spread":0.3294794671908938,"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."}}