{"id":"W3034719551","doi":"10.1029/2019je006141","title":"Modeling the Dielectric Properties of Minerals From Crystals to Bulk Powders for Improved Interpretation of Asteroid Radar Observations","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Planets","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Canadian Space Agency","keywords":"Asteroid; Radar; Geology; Permittivity; Porosity; Mineralogy; Regolith; Geophysics; Astrobiology; Materials science; Dielectric; Physics; Geotechnical engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003670091,0.00008182807,0.000253143,0.0000633367,0.00007228171,0.00003336067,0.0003699573,0.00001834002,0.00001673742],"category_scores_gemma":[0.0001646205,0.00005114219,0.00009304572,0.0002510622,0.00005578472,0.0001867663,0.00004226717,0.0002496707,0.000002416319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000081288,"about_ca_system_score_gemma":0.0001518202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007412012,"about_ca_topic_score_gemma":0.000008412927,"domain_scores_codex":[0.9987498,0.0001045244,0.000405329,0.0001160382,0.0004078124,0.0002165074],"domain_scores_gemma":[0.9987573,0.0004425326,0.00017055,0.0001002456,0.0003976562,0.0001317304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006374117,0.00006937066,0.0003201528,0.00002402723,0.00008997889,4.45615e-7,0.001782615,0.0162125,0.9739977,0.0001056926,0.0005966799,0.006163484],"study_design_scores_gemma":[0.0006434712,0.002001058,0.00280821,0.0001576654,0.00003882181,5.353712e-7,0.001356762,0.9594229,0.0315316,0.001302255,0.0006124016,0.0001243649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712886,0.00008330975,0.02595429,0.002116724,0.00003290595,0.0003064986,0.0001712076,0.000001641831,0.0000448231],"genre_scores_gemma":[0.9981343,0.000003057303,0.00146105,0.00006733486,0.0002586523,0.000004596142,0.00003215167,0.000005429643,0.00003347448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9432104,"threshold_uncertainty_score":0.2085518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08719013607383462,"score_gpt":0.3032711282082188,"score_spread":0.2160809921343842,"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."}}