{"id":"W4236194508","doi":"10.2523/105033-ms","title":"Research and Field Application of Water-Coning Control WithProduction-Balanced Method in Bottomwater Reservoir","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPE Middle East Oil and Gas Show and Conference","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro Geotech (Canada)","funders":"","keywords":"Petroleum engineering; Production (economics); Field (mathematics); Control (management); Computer science; Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Mathematics; Artificial intelligence","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":[0.0004279425,0.0005160472,0.0004853355,0.0003367765,0.0005463223,0.0007486059,0.0006901352,0.0005358487,0.00164708],"category_scores_gemma":[0.0005047334,0.0002262839,0.0004115849,0.0002710001,0.000390063,0.000720218,0.0005934439,0.0003013366,0.0001248251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951143,"about_ca_system_score_gemma":0.0006962094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006872085,"about_ca_topic_score_gemma":0.0033263,"domain_scores_codex":[0.9997126,0.00005006088,0.00001714261,0.00006797943,0.0001061777,0.00004594177],"domain_scores_gemma":[0.999767,0.00005849166,0.00004073543,0.0000263221,0.00008258289,0.00002480525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000490956,0.0002460731,0.006025397,0.0006150366,0.00007348543,0.0004256443,0.0003164679,0.6014307,0.1418503,0.006294036,0.001807271,0.2404247],"study_design_scores_gemma":[0.00002445235,0.0002168815,0.0008374953,0.000009569378,0.00002369103,0.00002427502,0.00005723493,0.9850183,0.01188256,0.0007534364,0.001134045,0.0000180102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2773582,0.001505872,0.7050682,0.0004287461,0.0001669,0.0002083504,0.00008872915,0.001060358,0.01411463],"genre_scores_gemma":[0.9759908,0.000243891,0.02219563,0.00002236908,0.00001051917,0.00004308973,0.0000196758,0.00001751438,0.001456497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006872085,"threshold_uncertainty_score":0.01366419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268613328472038,"score_gpt":0.2662301699705314,"score_spread":0.2393688371233277,"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."}}