{"id":"W46966705","doi":"","title":"Risk Reduction Activities for the Near-Earth Object Surveillance Satellite Project","year":2006,"lang":"en","type":"article","venue":"amos","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite; Spacecraft; Computer science; Software; Systems engineering; Near-Earth object; Tracking system; NASA Deep Space Network; Earth observation; Space research; Remote sensing; Real-time computing; Asteroid; Aerospace engineering; Engineering; Geography; Artificial intelligence; Operating system; Astrobiology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001204049,0.00009203816,0.00009373329,0.00003436075,0.0001083703,0.0000355985,0.00007813546,0.00007116769,0.000006460367],"category_scores_gemma":[0.00001627692,0.0000700724,0.00004679494,0.0001430078,0.00006356775,0.00005537323,0.000007166154,0.0001149838,0.0000121081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001889129,"about_ca_system_score_gemma":0.00001265188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002731043,"about_ca_topic_score_gemma":0.0002946073,"domain_scores_codex":[0.9995565,0.0000179648,0.000074187,0.0001077922,0.00005488419,0.0001886182],"domain_scores_gemma":[0.9996424,0.0001168197,0.00002360272,0.0001968462,0.00001311041,0.000007257292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000255954,0.0001246608,0.03192916,0.000268574,0.0005890484,0.00001361048,0.001641941,0.02869531,0.1785502,0.007562067,0.1109685,0.639401],"study_design_scores_gemma":[0.0009531143,0.0001963004,0.04652318,0.00001923022,0.00005315981,0.00007098549,0.0005972877,0.06662828,0.1615591,0.002168239,0.720635,0.0005960585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596343,0.003670917,0.02572797,0.0003626773,0.001118406,0.001291093,0.00004034756,0.001831678,0.006322593],"genre_scores_gemma":[0.9974562,0.0004338582,0.001080945,0.00000520974,0.0001712502,0.0001128901,0.000006139773,0.00002512593,0.0007083986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6388049,"threshold_uncertainty_score":0.285747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007564134825866804,"score_gpt":0.2066966268337502,"score_spread":0.1991324920078834,"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."}}