{"id":"W4391448674","doi":"10.1002/dep2.271","title":"Exploring the application of dual‐energy<scp>CT</scp>to discriminate sediment facies in a varved sequence","year":2024,"lang":"en","type":"article","venue":"The Depositional Record","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Varve; Geology; Sequence (biology); Dual (grammatical number); Facies; Sediment; Geochemistry; Mineralogy; Geomorphology; Chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001928158,0.000216976,0.0001228084,0.001193455,0.0002275145,0.0006154281,0.0002697506,0.0003436476,0.0009727228],"category_scores_gemma":[0.0004194601,0.0001975002,0.000118705,0.0006001439,0.0004336483,0.0002533148,0.0003193476,0.0001796576,0.00025442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643412,"about_ca_system_score_gemma":0.0002415946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898671,"about_ca_topic_score_gemma":0.00745915,"domain_scores_codex":[0.9999278,0.000006675659,0.000004453513,0.00002678921,0.00002015955,0.00001425584],"domain_scores_gemma":[0.999848,0.00003959454,0.00002446531,0.00001695043,0.00005387636,0.00001715288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003787392,0.00004565952,0.04299863,0.0001077228,0.00003141525,0.0004669064,0.0001527517,0.008036817,0.8882524,0.0005392575,0.000216215,0.05877342],"study_design_scores_gemma":[0.00002319793,0.0002712691,0.3535846,0.00003854262,0.0001030133,0.002458063,0.0003457594,0.1701844,0.4681586,0.0009261635,0.003848823,0.00005758415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723508,0.0001624148,0.02542757,0.0000555968,0.000005385706,0.00001784967,0.0002240929,0.0001593136,0.001596949],"genre_scores_gemma":[0.9768857,0.00005928574,0.02236417,0.00001546657,0.000002380255,0.000006116993,0.0001452133,0.00003174724,0.0004900899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003898671,"threshold_uncertainty_score":0.007752001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06223325469837917,"score_gpt":0.2569148484034591,"score_spread":0.19468159370508,"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."}}