{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009468081,0.0001105826,0.0002200887,0.0001900535,0.00004734601,0.00003261939,0.00007190212,0.0000831858,0.000005147712],"category_scores_gemma":[0.00002791717,0.00008970511,0.00001113246,0.0001310894,0.0001244226,0.0001932888,0.00003900748,0.0002028072,3.488805e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000085313,"about_ca_system_score_gemma":0.000005069547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001097299,"about_ca_topic_score_gemma":0.00002005473,"domain_scores_codex":[0.9991159,0.000005078339,0.0002518019,0.0002578934,0.0001391256,0.0002301358],"domain_scores_gemma":[0.9995307,0.00003459951,0.00003814267,0.00006316329,0.0002763213,0.00005708889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002454926,0.00004775899,0.02835939,0.001280516,0.00002382102,6.28933e-7,0.002925352,0.00001451806,0.4535458,0.003384392,0.00003145968,0.5101409],"study_design_scores_gemma":[0.0005668494,0.0002333439,0.003429038,0.0002406939,0.00001057216,0.00002168711,0.002021688,0.002046913,0.9733399,0.01757493,0.000342058,0.000172364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938114,0.0004900022,0.00132092,0.0009670301,0.00002790767,0.0000848433,0.000001997703,0.00005066827,0.00324519],"genre_scores_gemma":[0.99574,0.000673181,0.003291596,0.000009795067,0.00005235704,0.00002466478,0.000001127898,0.00000963475,0.0001976504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.519794,"threshold_uncertainty_score":0.3658068,"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."}}