{"id":"W2244966163","doi":"","title":"Electrical Property Estimation For Complex Carbonate Reservoirs Using Wireline Logs","year":2012,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Wireline; Geology; Property (philosophy); Carbonate; Petroleum engineering; Well logging; Mining engineering; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001989108,0.0003586439,0.0002870494,0.0003956477,0.0002018261,0.0004515453,0.000401301,0.0004833572,0.0008155502],"category_scores_gemma":[0.001631603,0.0002712386,0.0002395306,0.0005148218,0.0002221741,0.0008968679,0.0002676673,0.0003251958,0.0001596141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159892,"about_ca_system_score_gemma":0.0004362017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008971915,"about_ca_topic_score_gemma":0.01237269,"domain_scores_codex":[0.9999276,0.00001758813,0.00000639437,0.00001945968,0.00002132935,0.000007577935],"domain_scores_gemma":[0.9993922,0.0003666818,0.00007696263,0.0000588872,0.00008857788,0.00001674719],"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":[0.00009709429,0.00006678955,0.009913426,0.00005080083,0.00001686284,0.00009159205,0.00004329118,0.9516804,0.007194832,0.0007283955,0.0002465217,0.02986995],"study_design_scores_gemma":[0.000001959158,0.000005421783,0.0005237951,0.000001016113,0.000001258976,0.000004308957,0.00000417133,0.9982278,0.001017317,0.0001611284,0.00004941113,0.000002390163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4783873,0.00009267488,0.5183106,0.00008922517,0.00001122245,0.0000442827,0.0004178152,0.0008237304,0.001823235],"genre_scores_gemma":[0.972326,0.00005222135,0.0265824,0.00000642555,0.000003684137,0.00002521471,0.000175548,0.00002714851,0.0008012651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008971915,"threshold_uncertainty_score":0.01783943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08210427227143778,"score_gpt":0.3283547963334101,"score_spread":0.2462505240619723,"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."}}