{"id":"W3149795655","doi":"10.48550/arxiv.2104.03411","title":"A New Blind Asteroid Detection Scheme","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Lawrence Livermore National Laboratory; Planetary Science Division; Science Mission Directorate; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Gordon and Betty Moore Foundation; National Central University; Laboratory Directed Research and Development; Space Telescope Science Institute; Queen's University; Johns Hopkins University; Eötvös Loránd Tudományegyetem; U.S. Department of Energy; Queen's University Belfast; National Aeronautics and Space Administration; Durham University; Smithsonian Institution; National Science Foundation","keywords":"Asteroid; Scheme (mathematics); Astrobiology; Computer science; Artificial intelligence; Geology; Mathematics; Physics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002230934,0.00009393689,0.00008086604,0.00006129024,0.00004452157,0.00002544022,0.00008133333,0.00005007475,0.0001752843],"category_scores_gemma":[0.000009428009,0.000123182,0.0000568566,0.0003905481,0.00001312426,0.0001525495,0.00002852301,0.0001237682,0.0002189377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000599052,"about_ca_system_score_gemma":0.0000223299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484076,"about_ca_topic_score_gemma":0.0000746791,"domain_scores_codex":[0.9995453,0.00001224898,0.00005810619,0.0001929059,0.00002820538,0.000163185],"domain_scores_gemma":[0.9996457,0.00001423437,0.00001162489,0.000203804,0.00003127663,0.00009334587],"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":[0.000172728,0.0001341946,0.01206635,0.0001890162,0.0004958475,0.003677377,0.0008825048,0.5250756,0.3955037,0.009155896,0.005746992,0.04689981],"study_design_scores_gemma":[0.003630489,0.00005705068,0.00510023,0.00007489756,0.0001291949,0.0001585135,0.0008181882,0.744762,0.1887518,0.003031387,0.05251532,0.0009708796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9093893,0.00009093156,0.08329126,0.00001867884,0.0002637186,0.00003070126,0.000001254368,0.000281742,0.006632457],"genre_scores_gemma":[0.994094,0.00004275937,0.0003957216,0.00002580867,0.00007967423,4.860188e-8,0.000002302002,0.00001657841,0.005343141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2196864,"threshold_uncertainty_score":0.5023217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035559782434319,"score_gpt":0.1478171351055211,"score_spread":0.1122573526712021,"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."}}