{"id":"W1977837024","doi":"10.2118/104596-ms","title":"Identification and Analysis of Fields for Waterflood-Enhanced Recovery Efforts","year":2006,"lang":"en","type":"article","venue":"SPE Eastern Regional Meeting","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Petroleum engineering; Oil production; Geology; Anticline; Conglomerate; Production (economics); Identification (biology); Oil field; Petroleum; Field (mathematics); Mining engineering; Structural basin; Paleontology","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":[0.0002284306,0.00008309359,0.0001717237,0.0001779078,0.00002618593,0.0000225993,0.00005179782,0.00005717378,0.000003927509],"category_scores_gemma":[0.00002960303,0.00008367449,0.00008778836,0.0001939627,0.00001168685,0.00007229964,0.000009074398,0.00003979859,8.334932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001047519,"about_ca_system_score_gemma":0.000002592817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001975063,"about_ca_topic_score_gemma":0.00001736233,"domain_scores_codex":[0.9993717,0.00001371154,0.0002709755,0.0001241596,0.0001053937,0.0001140746],"domain_scores_gemma":[0.9996167,0.0001408457,0.00005230794,0.0001176283,0.00004948536,0.00002302651],"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":[0.000009657812,0.000004114761,0.002009096,0.0000792244,0.0001276837,1.798114e-7,0.00004687325,0.9836288,0.01210635,0.0001127114,0.00003599379,0.00183929],"study_design_scores_gemma":[0.0001993234,0.00001247283,0.008944673,0.00004104733,0.0001501565,5.31991e-7,0.00001588496,0.9730602,0.01641101,0.0008082592,0.0002471118,0.0001093092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6417371,0.0001866774,0.3575419,0.00002526974,0.00009720871,0.00006156622,0.000004444718,0.00004296735,0.0003028569],"genre_scores_gemma":[0.9837378,0.00001887803,0.01570612,0.000004167247,0.00008112835,0.00001201336,0.00004190331,0.00001430628,0.0003836743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3420007,"threshold_uncertainty_score":0.3412147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553486122051945,"score_gpt":0.2551466783738344,"score_spread":0.2396118171533149,"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."}}