{"id":"W4306316807","doi":"10.2514/6.2022-4389","title":"Collaborative Space and Ground Interactions with Varying Space Vehicle Autonomy","year":2022,"lang":"en","type":"article","venue":"ASCEND 2022","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Ground segment; Space vehicle; Satellite; Architecture; Constraint (computer-aided design); Computer science; Systems engineering; Set (abstract data type); Space (punctuation); Space exploration; State space; Software; Remotely operated underwater vehicle; Autonomous system (mathematics); Real-time computing; Control engineering; Distributed computing; Engineering; Aerospace engineering; Mobile robot; Artificial intelligence; Operating system; Robot","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":[0.0001755661,0.0001201006,0.0001487391,0.0000630299,0.0006153469,0.0002098017,0.0003210671,0.00001343306,0.0000913303],"category_scores_gemma":[0.000007315097,0.0001148928,0.00002263081,0.0007906281,0.00003596746,0.0005092809,0.0003409218,0.0002463558,0.00001247231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543901,"about_ca_system_score_gemma":0.0001790798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001692125,"about_ca_topic_score_gemma":0.00002757074,"domain_scores_codex":[0.9989107,0.0001111138,0.0001288524,0.000375586,0.0002522866,0.0002214458],"domain_scores_gemma":[0.9993471,0.00007325888,0.0001027905,0.0003320914,0.00006252408,0.00008227018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002878763,0.001050846,0.01212292,0.0001290583,0.0005907658,0.0009166647,0.04666792,0.01121722,0.01156942,0.7739406,0.0762613,0.06524543],"study_design_scores_gemma":[0.001204714,0.0003562177,0.006304786,0.00003175146,0.00001719062,0.0002462972,0.003258786,0.0621253,0.0005525151,0.0006065725,0.9247994,0.0004964684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4428973,0.004239834,0.3905758,0.03662905,0.004634555,0.002259075,0.0005507254,0.001127821,0.1170858],"genre_scores_gemma":[0.9934343,0.000006276041,0.003262562,0.0001926773,0.00004294647,0.000113295,0.00001107165,0.0000098323,0.00292705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8485381,"threshold_uncertainty_score":0.4732813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006949247129316207,"score_gpt":0.230122728047327,"score_spread":0.2231734809180108,"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."}}