{"id":"W4413409775","doi":"10.1038/s41550-025-02631-6","title":"The variety and origin of materials accreted by Bennu’s parent asteroid","year":2025,"lang":"en","type":"article","venue":"Nature Astronomy","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"Lawrence Livermore National Laboratory; Science and Technology Facilities Council; Johnson Space Center; Nuclear Safety and Security Commission; U.S. Department of Energy; Centre National d’Etudes Spatiales; Gordon and Betty Moore Foundation; Planetary Science Division; National Aeronautics and Space Administration; National Science Foundation","keywords":"Asteroid; Astrobiology; Variety (cybernetics); Geology; Physics; Computer science; Artificial intelligence","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":[0.0001724844,0.0001312973,0.0001625663,0.00002316272,0.0001503733,0.00007292321,0.0002488276,0.000060149,0.0001359311],"category_scores_gemma":[0.000003358778,0.0000900342,0.00003332336,0.0001092002,0.0001033901,0.0001023636,0.00007088496,0.0002357161,0.000004549365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007067064,"about_ca_system_score_gemma":0.00006725766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009562518,"about_ca_topic_score_gemma":0.000004065922,"domain_scores_codex":[0.9992312,0.00004311118,0.0001989958,0.0002026322,0.0001017988,0.0002222383],"domain_scores_gemma":[0.9994993,0.0001055096,0.0001011353,0.000210599,0.00003669417,0.00004679082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002117576,0.0001197087,0.6279912,0.00003829262,0.0004472487,5.402626e-7,0.0003004884,0.00008786382,0.03443961,0.05294148,0.04997214,0.2334497],"study_design_scores_gemma":[0.00103905,0.0001083686,0.1831251,0.00005862307,0.00007756573,5.83319e-7,0.0008715366,0.0001148319,0.04779702,0.0009431007,0.7655655,0.0002988019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828975,0.0008321851,0.008791259,0.0004324106,0.0005142102,0.0002749109,0.0003945341,0.0000144768,0.005848573],"genre_scores_gemma":[0.9976023,0.000003093046,0.001174947,0.00004129605,0.00007801537,0.00001031926,0.0001436092,0.000003708177,0.0009427198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7155933,"threshold_uncertainty_score":0.3671488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002969566288295538,"score_gpt":0.2247520243026362,"score_spread":0.2217824580143407,"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."}}