{"id":"W1534574487","doi":"10.1109/icassp.1987.1169317","title":"AGIS: An expert system for automated geophysical interpretation of seismic images","year":2005,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Anticline; Geophysical imaging; Expert system; Interpretation (philosophy); Geophysics; Seismology; Computer science; Artificial intelligence; Tectonics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001076368,0.00008566729,0.0001425286,0.00006255192,0.00001317749,0.00001495245,0.00007566542,0.00003694439,0.000006550254],"category_scores_gemma":[0.00001792348,0.0000787579,0.00004890138,0.00006758478,0.0000074091,0.0001852069,0.000005379485,0.00003546209,0.00000592781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003950791,"about_ca_system_score_gemma":0.000003951401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001260497,"about_ca_topic_score_gemma":7.488086e-7,"domain_scores_codex":[0.999521,0.00001947246,0.0001961655,0.00008528239,0.00007019854,0.0001079319],"domain_scores_gemma":[0.999676,0.00007537568,0.00001594609,0.0001437972,0.00004769872,0.00004119501],"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":[0.00000703808,0.000008635275,0.000005074323,0.0001082988,0.00001539021,1.095283e-7,0.0002417609,0.9709039,0.02087044,0.0001294271,0.000388728,0.007321154],"study_design_scores_gemma":[0.0002394885,0.00002152773,0.0001600301,0.00002886934,0.000004584103,9.306532e-7,0.00008597809,0.9429075,0.05598453,0.000007967627,0.0004752774,0.00008333459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2465001,0.0000609322,0.7508837,0.00001544522,0.0001179513,0.0001028598,0.000004938386,0.001515118,0.0007988969],"genre_scores_gemma":[0.8692834,0.000002449897,0.1304695,0.000007380812,0.00009164879,0.00002457709,0.00001172207,0.00002198554,0.00008733921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6227832,"threshold_uncertainty_score":0.3211654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106706486305659,"score_gpt":0.291174225265496,"score_spread":0.2801071604024394,"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."}}