{"id":"W2017496853","doi":"10.1190/1.3657071","title":"Practical seismic petrophysics: The effective use of log data for seismic analysis","year":2011,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Petrophysics; Geology; Stratigraphy; Seismic to simulation; Seismology; Oil shale; Seismic inversion; Geotechnical engineering; Paleontology; Geography","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":[0.000761756,0.0001106651,0.0002054563,0.00008308436,0.0002024264,0.00004220077,0.0006308823,0.00003977313,0.00009723239],"category_scores_gemma":[0.0002567139,0.00005849263,0.0001117622,0.0003692822,0.0002695741,0.0003613182,0.00005523105,0.0001873872,0.0001057342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005185634,"about_ca_system_score_gemma":0.00003150201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004430634,"about_ca_topic_score_gemma":0.0000346283,"domain_scores_codex":[0.9990479,0.0001909986,0.0001583793,0.0002444152,0.0001418356,0.0002164451],"domain_scores_gemma":[0.9975821,0.001356196,0.0001362287,0.0008398111,0.00005039518,0.00003528297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006446234,0.0001769364,0.08142875,0.0001095247,0.002332714,0.00001493205,0.006280916,0.004376414,0.0002860622,0.001168185,0.6326053,0.2705757],"study_design_scores_gemma":[0.0001379388,0.0001649899,0.01376689,0.00001731348,0.0008478741,0.00001013623,0.0002895126,0.9184804,0.003363498,0.002441162,0.06032143,0.0001588506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3977632,0.000310379,0.5846428,0.006409039,0.00089356,0.001619284,0.0009564142,0.0003328491,0.007072564],"genre_scores_gemma":[0.993358,0.00002540424,0.00407618,0.001803772,0.00009461549,0.000003542229,0.0001203275,0.000004926253,0.0005132714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.914104,"threshold_uncertainty_score":0.6697823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123465580715844,"score_gpt":0.3006503363989799,"score_spread":0.1883037783273955,"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."}}