{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001859694,0.0006393145,0.0009314221,0.001707224,0.0009521056,0.001399029,0.001982099,0.001544929,0.004359591],"category_scores_gemma":[0.004485633,0.0004554279,0.0007423303,0.001333034,0.0009572848,0.002450746,0.002636491,0.001221624,0.002083753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008771047,"about_ca_system_score_gemma":0.002746333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0041088,"about_ca_topic_score_gemma":0.004735547,"domain_scores_codex":[0.9980205,0.0002426241,0.0001778461,0.0006663591,0.0006588342,0.0002337739],"domain_scores_gemma":[0.9983971,0.0002382116,0.0001588335,0.0006354605,0.0004559502,0.0001144589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008480945,0.000218793,0.003230299,0.000140849,0.00007640977,0.00009707676,0.0001883185,0.07357194,0.07428334,0.04747111,0.008872087,0.7910016],"study_design_scores_gemma":[0.0001100001,0.0001854501,0.001456005,0.00002209139,0.00002877806,0.0002643536,0.00003179789,0.9152195,0.03107256,0.03696922,0.01455581,0.00008443296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009596125,0.0001063564,0.9877248,0.0001200393,0.00006648975,0.00007731313,0.0002633227,0.001079687,0.0009657997],"genre_scores_gemma":[0.1270495,0.0001051964,0.8656936,0.0001879717,0.00007570923,0.0001218346,0.0008921021,0.0001142048,0.005759839],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004359591,"threshold_uncertainty_score":0.0145843,"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."}}