{"id":"W3169217411","doi":"10.3390/min11060598","title":"Spectral Tomography for 3D Element Detection and Mineral Analysis","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Institute of Innovation and Technology; European Commission; Barrick Gold Corporation","keywords":"Detector; Characterization (materials science); Mineral; Tomography; Energy (signal processing); Mineralogy; Materials science; Computer science; Geology; Physics; Optics","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":[0.00004930112,0.00009983338,0.0001581604,0.000121681,0.00004517612,0.00003077298,0.00002669698,0.00002528918,0.00005353207],"category_scores_gemma":[0.000009055238,0.0001043171,0.0001050968,0.0003911233,0.00001067825,0.00009280734,0.000009110652,0.0000485311,0.000001124925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001697675,"about_ca_system_score_gemma":0.000002647294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006052641,"about_ca_topic_score_gemma":0.0001578125,"domain_scores_codex":[0.99946,0.000007587324,0.0001345791,0.0001467896,0.00005843056,0.0001925617],"domain_scores_gemma":[0.9997835,0.00002190949,0.00001384178,0.0001059064,0.00002977676,0.00004513807],"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":[0.00001103555,0.00002393284,0.002585549,0.00007259109,0.0006180687,0.00001199705,0.0001882779,0.04634256,0.9308053,0.0001634972,0.0005023836,0.01867482],"study_design_scores_gemma":[0.001436938,0.00009310488,0.008901473,0.00002508707,0.001043439,0.00002665336,0.0003104224,0.465781,0.4520105,0.001322858,0.06828524,0.0007633419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689672,0.001415486,0.2277942,0.0000787487,0.0001586145,0.0001048159,0.00002050931,0.000131257,0.001329209],"genre_scores_gemma":[0.9737951,0.00004865834,0.02529631,0.00006182102,0.000142727,0.00003578639,0.00002792484,0.00001446613,0.0005771981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4787948,"threshold_uncertainty_score":0.4253926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006942600448849705,"score_gpt":0.2253193439210454,"score_spread":0.2183767434721957,"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."}}