{"id":"W4302012999","doi":"10.1051/0004-6361/202243886","title":"Neural network for determining an asteroid mineral composition from reflectance spectra","year":2022,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Solar System Exploration Research Virtual Institute; Academy of Finland; National Aeronautics and Space Administration; Akademie Věd České Republiky; University of Winnipeg; Brown University","keywords":"Asteroid; Chondrite; Silicate; Mineral; Olivine; Meteorite; Chemical composition; Mineralogy; Pyroxene; Compositional data; Reflectivity; Spectral line; Ordinary chondrite; Geology; Materials science; Chemistry; Astrobiology; Physics; Mathematics; Optics; Astronomy; Statistics","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":[0.0004542832,0.0008137073,0.0003506837,0.0004434158,0.0002358482,0.0004583455,0.0007042177,0.0007105024,0.001549651],"category_scores_gemma":[0.001387003,0.0002628558,0.000428025,0.0004060961,0.0002325438,0.0004908442,0.0003424007,0.0007933294,0.0005413259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008865091,"about_ca_system_score_gemma":0.0005853793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403523,"about_ca_topic_score_gemma":0.01082641,"domain_scores_codex":[0.9998525,0.00002415133,0.00001052585,0.00006042935,0.00003131424,0.00002104489],"domain_scores_gemma":[0.9996551,0.0001552581,0.00003570657,0.00001968111,0.0001237799,0.00001033125],"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":[0.0001888261,0.0001220108,0.003515035,0.0001006065,0.0001112216,0.00008745043,0.00003099563,0.8442283,0.006446331,0.00129142,0.002593168,0.1412846],"study_design_scores_gemma":[0.00000336211,0.00001193152,0.0004851551,0.000005715913,0.000007483192,0.000007438608,0.000003279669,0.9979628,0.0008374762,0.0004570612,0.0002154321,0.00000279798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2279177,0.003766165,0.7545118,0.0008614957,0.0003643206,0.000164631,0.001784369,0.003596722,0.007032922],"genre_scores_gemma":[0.8918486,0.0006499691,0.09925716,0.0001984181,0.00007252937,0.000202282,0.00194351,0.00005534746,0.005772246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01403523,"threshold_uncertainty_score":0.02790707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129605639937551,"score_gpt":0.2191183544748362,"score_spread":0.2078222980754607,"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."}}