{"id":"W4240905978","doi":"10.2118/2003-015","title":"Determining the Most Profitable ASP Flood Strategy for Enhanced Oil Recovery","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Saskatchewan Research Council (Canada)","funders":"Petroleum Technology Research Centre","keywords":"Flood myth; Computer science; Petroleum engineering; Business; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003581714,0.0004491991,0.0004196613,0.0004624801,0.0002137495,0.0008532124,0.0003137896,0.0004643536,0.001187194],"category_scores_gemma":[0.000548197,0.0002025174,0.0002261644,0.0002680567,0.0002817857,0.0009986402,0.0004460019,0.0004128284,0.0004140541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655063,"about_ca_system_score_gemma":0.0004832686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005547127,"about_ca_topic_score_gemma":0.001337273,"domain_scores_codex":[0.999826,0.00002085369,0.00001391526,0.00003425559,0.00005510289,0.00004989096],"domain_scores_gemma":[0.9998406,0.00004114744,0.00005451753,0.000006553884,0.00002939539,0.00002770534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001713948,0.0001601282,0.001241244,0.0002742871,0.00001151262,0.0001805527,0.00002333473,0.008169929,0.9747745,0.000554802,0.000133412,0.01430487],"study_design_scores_gemma":[0.00002034195,0.001110129,0.002539959,0.00002965839,0.00003793887,0.0001049194,0.000163611,0.04588764,0.9478748,0.0003710961,0.001834322,0.00002549915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805217,0.0007171593,0.01566739,0.000123267,0.00001308548,0.0001027256,0.0001321762,0.00007392109,0.002648664],"genre_scores_gemma":[0.9880364,0.000530093,0.01073693,0.0000262927,0.000004333071,0.00003904307,0.00007112616,0.00001282188,0.000542997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187194,"threshold_uncertainty_score":0.003971577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937726665820924,"score_gpt":0.2623914196067162,"score_spread":0.233014152948507,"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."}}