{"id":"W4399985045","doi":"10.1190/geo2023-0508.1","title":"Self-supervised learning for efficient seismic facies classification","year":2024,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facies; Geology; Supervised learning; Computer science; Artificial intelligence; Artificial neural network; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001524508,0.00009164905,0.00008167834,0.00006027021,0.0001733158,0.0001172421,0.0001076205,0.00003824917,0.00009791717],"category_scores_gemma":[0.00001358823,0.00007825503,0.00007139672,0.000179187,0.00003212898,0.00010659,0.000005832483,0.0001218432,0.000455422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007056473,"about_ca_system_score_gemma":0.00004132498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002168627,"about_ca_topic_score_gemma":7.563723e-7,"domain_scores_codex":[0.9993451,0.00001791539,0.0001036937,0.0002134699,0.0001306767,0.0001891778],"domain_scores_gemma":[0.999692,0.0001136685,0.00002138575,0.0001009531,0.00003336502,0.00003859452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001623708,0.00002675264,0.002138013,0.0003243201,0.00003837779,0.000003524544,0.001728727,0.008484703,0.0008043904,0.001463955,0.01912512,0.9658459],"study_design_scores_gemma":[0.00004859364,0.00004114823,0.001638329,0.00001966536,0.00001183836,0.000001283764,0.0002100933,0.8212863,0.0006165337,0.001313126,0.1747182,0.00009483879],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924826,0.001543728,0.07996975,0.002450259,0.001644373,0.0006600863,0.0000946679,0.002934451,0.01822012],"genre_scores_gemma":[0.9956247,0.00005219457,0.002820069,0.0004006316,0.0001470316,0.00000443716,0.0001636415,0.000005400007,0.0007818636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9657511,"threshold_uncertainty_score":0.585368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798968851732159,"score_gpt":0.2257236584089363,"score_spread":0.2077339698916147,"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."}}