{"id":"W4404937091","doi":"10.3997/2214-4609.2024636004","title":"Optimizing GAN Training for 3D Seismic Microstructure Generation","year":2024,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Microstructure; Training (meteorology); Materials science; Computer science; Optoelectronics; Metallurgy; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000446296,0.0006489182,0.0003866514,0.0002562558,0.0001655362,0.0003588777,0.000808396,0.0005553915,0.002862574],"category_scores_gemma":[0.001411719,0.0003132866,0.0004631163,0.0002461465,0.0003994264,0.0004363662,0.0005431524,0.0009464961,0.0007237159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918508,"about_ca_system_score_gemma":0.0006201161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829078,"about_ca_topic_score_gemma":0.008705782,"domain_scores_codex":[0.9998459,0.00003764728,0.000005224023,0.00003863077,0.00004771441,0.00002492932],"domain_scores_gemma":[0.9996194,0.0002192278,0.00001676278,0.00005278787,0.0000716631,0.00002019686],"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":[0.00007042709,0.00002148558,0.0008175597,0.00004274736,0.0000234863,0.00006386137,0.00002366012,0.9473577,0.004438872,0.002559131,0.003521025,0.04106005],"study_design_scores_gemma":[0.000002624705,0.000004266559,0.00006365911,0.000001550808,0.000001184939,0.000006997099,0.000002065425,0.9982747,0.0007623691,0.0006578415,0.0002215422,0.000001192968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06162037,0.0003136772,0.9245092,0.0004189315,0.0001154802,0.00006495509,0.0005054881,0.005881205,0.006570651],"genre_scores_gemma":[0.747276,0.0001587969,0.2456229,0.000359985,0.00004465521,0.0001319882,0.001487955,0.000642279,0.004275525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004829078,"threshold_uncertainty_score":0.009601951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862454497093834,"score_gpt":0.2161187993121947,"score_spread":0.1974942543412563,"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."}}