{"id":"W1969063328","doi":"10.1190/1.2335155","title":"Applications of texture attribute analysis to 3D seismic data","year":2006,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Texture (cosmology); Geology; Computer science; Pattern recognition (psychology); Artificial intelligence; Seismology; Data mining; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001870651,0.00008404965,0.0001861366,0.0002080893,0.00006259309,0.00002373409,0.0005260328,0.00004027563,0.00003163218],"category_scores_gemma":[0.000009692671,0.00006184519,0.00007248669,0.001769175,0.00002223984,0.00006766719,0.00007101645,0.00009464844,0.000206342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002346383,"about_ca_system_score_gemma":0.000006740809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007892506,"about_ca_topic_score_gemma":0.0003010433,"domain_scores_codex":[0.9993845,0.00002057371,0.0001922934,0.0001420172,0.0001268057,0.0001338668],"domain_scores_gemma":[0.99898,0.00004162082,0.00002890141,0.0008826124,0.00003048816,0.00003632516],"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":[0.000001038519,0.00001489504,0.0004157448,0.00001396411,0.0004285809,6.798114e-7,0.0001916643,0.9693034,0.001588616,0.0001552164,0.02497627,0.002909875],"study_design_scores_gemma":[0.00005707985,0.000003320916,0.0004193629,0.000004296217,0.0005570176,7.957444e-7,0.00005553887,0.8531226,0.001023882,0.00008989584,0.144553,0.000113267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01608453,0.0004115536,0.9756899,0.001105428,0.00004848773,0.0001735397,0.0001144651,0.0001903887,0.006181743],"genre_scores_gemma":[0.9972253,0.00001699151,0.0004030519,0.0000724519,0.0001387656,0.00002136515,0.0002862666,0.00001354992,0.001822287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9811407,"threshold_uncertainty_score":0.2652177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953123322498852,"score_gpt":0.2589710181869344,"score_spread":0.2394397849619458,"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."}}