{"id":"W2015356959","doi":"10.4043/11908-ms","title":"Quantifying Fluid Prediction Using Angle-Dependent Inversion Measured Against Log Fluid Substitutions","year":2000,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"MRF Geosystems (Canada); Nalcor Energy (Canada)","funders":"","keywords":"Seismic inversion; Geology; Amplitude; Inversion (geology); Range (aeronautics); Well control; Stack (abstract data type); Seismology; Computer science; Geometry; Engineering; Optics; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002501688,0.0002555381,0.0002738943,0.0004341092,0.0001921967,0.00004771263,0.0003277997,0.0004468702,0.000220078],"category_scores_gemma":[0.00009288049,0.0002774539,0.00006528128,0.0006210935,0.0001358164,0.0002277659,0.00003855504,0.0004221866,0.00007027978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655371,"about_ca_system_score_gemma":0.00005323467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001013914,"about_ca_topic_score_gemma":0.00001723118,"domain_scores_codex":[0.9986458,0.00004468972,0.0003520682,0.0003264067,0.0002419052,0.0003891491],"domain_scores_gemma":[0.9991993,0.00003455647,0.00003013648,0.0005166205,0.0001282896,0.00009110359],"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":[0.00001038796,0.00001649066,0.002674913,0.00003371537,0.00003747538,0.00001241241,0.00007105537,0.8710526,0.1119583,0.0008038801,0.000106346,0.01322246],"study_design_scores_gemma":[0.0004531789,0.00002752915,0.0005512781,0.0001039375,0.00002815445,0.00002040917,0.00007887453,0.9683416,0.0271592,0.0002474106,0.00271898,0.0002694787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597787,0.0004917362,0.1349926,0.0000874992,0.0003851051,0.0001816425,0.00002001689,0.002108376,0.001954337],"genre_scores_gemma":[0.9859414,0.0003825698,0.01342089,0.00001132706,0.00005478732,0.00001910273,0.00003447441,0.00003747172,0.00009799187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1261627,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05723709546069061,"score_gpt":0.2744284615102281,"score_spread":0.2171913660495375,"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."}}