{"id":"W2139025248","doi":"10.2118/2009-159","title":"Application of the Power Law Loss-Ratio Method of Decline Analysis","year":2009,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power analysis; Computer science; Power (physics); Computer security; Thermodynamics; Cryptography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053254,0.00008814833,0.0001666815,0.0002390655,0.00002315242,0.00001976638,0.0003944449,0.00005773814,0.0001360123],"category_scores_gemma":[0.00005730069,0.00007897467,0.0001101456,0.0003349887,0.00003176832,0.00007128346,0.00001167259,0.000100354,0.000002546609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000853272,"about_ca_system_score_gemma":0.00006335715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480685,"about_ca_topic_score_gemma":0.01132699,"domain_scores_codex":[0.9992599,0.0000297849,0.0002806658,0.000107891,0.0002089799,0.0001127917],"domain_scores_gemma":[0.9992951,0.00006518057,0.00006298296,0.000276274,0.0002114998,0.00008902896],"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":[0.000002165916,0.00000415604,0.003018082,0.000004000779,0.0001028695,3.048073e-7,0.00004340284,0.9308383,0.001989005,0.06352709,0.00002849377,0.0004421347],"study_design_scores_gemma":[0.0001250895,0.000009043038,0.04797289,0.000008313038,0.00003825944,0.000001173811,0.000008723908,0.9420244,0.003442676,0.001484181,0.004806561,0.00007873375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2142714,0.00003101653,0.7654289,0.0006475894,0.0001858286,0.00005595227,0.00007700381,0.00002803895,0.01927422],"genre_scores_gemma":[0.9896529,0.000003970892,0.01005176,0.00008015973,0.0000245575,0.000004520691,0.00002297926,0.000006432136,0.0001527025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7753814,"threshold_uncertainty_score":0.7266551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249669967962194,"score_gpt":0.2782962044444423,"score_spread":0.2657995047648203,"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."}}