{"id":"W2902357042","doi":"10.3390/en11123368","title":"A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Compartmentalization (fire protection); Reservoir modeling; Petroleum engineering; Flow (mathematics); Field (mathematics); Characterization (materials science); Capacitance; Environmental science; Geology; Mechanics; Mathematics; Materials science; Chemistry; Nanotechnology","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":[0.0002238981,0.0001118052,0.0001525712,0.0000425635,0.00007571596,0.00002423143,0.0001040484,0.00003454683,0.000001397961],"category_scores_gemma":[0.00009995076,0.00008651705,0.00003384197,0.000229254,0.00003445319,0.000226549,0.00001098412,0.00007878926,4.437887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001650176,"about_ca_system_score_gemma":0.000005848882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.474108e-7,"about_ca_topic_score_gemma":0.000002094355,"domain_scores_codex":[0.9994202,0.00002368143,0.0001950369,0.0001166884,0.0001083962,0.0001359891],"domain_scores_gemma":[0.9995098,0.0000806583,0.00004688246,0.0002251285,0.0001144624,0.00002310638],"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":[0.00003307296,0.000002828451,0.00004531393,0.003388657,0.0000119606,2.083959e-7,0.0004874829,0.9861708,0.004111414,0.0004438598,0.0007707725,0.004533689],"study_design_scores_gemma":[0.0001757375,0.00004516729,0.0005842202,0.00624278,0.000007503993,0.000001488956,0.000003618884,0.9529868,0.02252371,0.0003911278,0.01689126,0.0001465937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93657,0.007714307,0.05421914,0.00009419402,0.0002803897,0.0002359022,0.00003452356,0.00009992019,0.0007516075],"genre_scores_gemma":[0.9647208,0.009736366,0.02167885,0.00006985237,0.0001380246,0.00007549496,0.00002382719,0.00004130367,0.003515508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03318395,"threshold_uncertainty_score":0.3528063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529036668434012,"score_gpt":0.245939724523784,"score_spread":0.2206493578394439,"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."}}