{"id":"W2186872833","doi":"10.2514/6.2015-4645","title":"The \"Master Enabler\" - In-Orbit Servicing","year":2015,"lang":"en","type":"article","venue":"AIAA SPACE 2015 Conference and Exposition","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Enabling; Computer science; Orbit (dynamics); Aerospace engineering; Engineering","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":[0.0001573552,0.0001068473,0.0001046113,0.00006879242,0.00005074587,0.00007526576,0.00009024191,0.00009991415,0.0000119417],"category_scores_gemma":[0.0000112883,0.0000841719,0.00001173289,0.0001173891,0.00003665651,0.0001808552,0.00002978472,0.0001508773,0.00006888114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006817674,"about_ca_system_score_gemma":0.00002666831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311408,"about_ca_topic_score_gemma":0.0004190534,"domain_scores_codex":[0.9994402,0.0000206756,0.0001058003,0.000117219,0.0000859152,0.0002301864],"domain_scores_gemma":[0.999676,0.00002774101,0.0000172315,0.0001633097,0.00004689245,0.00006881374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005647487,0.0001609059,0.03820565,0.0004097057,0.0003063164,0.0003304358,0.02416582,0.006233665,0.3893211,0.1759251,0.2054341,0.1589425],"study_design_scores_gemma":[0.007154961,0.00134125,0.01606943,0.000882975,0.0001231066,0.0003811868,0.03010263,0.5252868,0.1401474,0.09035789,0.1854974,0.002654945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542399,0.002288122,0.01291945,0.007702821,0.0005206628,0.0003147991,0.000002236804,0.0004483455,0.02156367],"genre_scores_gemma":[0.9989287,0.0002891164,0.0002066984,0.00008373495,0.00003794768,0.00002334046,0.000004044357,0.00001247932,0.0004139531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5190531,"threshold_uncertainty_score":0.343243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754539872836812,"score_gpt":0.217439933832185,"score_spread":0.1898945351038169,"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."}}