{"id":"W2071403100","doi":"10.4028/www.scientific.net/amr.827.338","title":"Research and Application on Multi-Branch Wells Based Optimization Technology","year":2013,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Interference (communication); Production (economics); Productivity; Stimulation; Engineering; Geology; Telecommunications; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467383,0.0001349838,0.0001839857,0.0008291045,0.0001818962,0.0001323664,0.0002267012,0.0001905474,0.000170162],"category_scores_gemma":[0.0002409514,0.0001315697,0.00001127836,0.0008951576,0.0001421599,0.0001966161,0.00004894494,0.0003754604,0.0002341687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009503686,"about_ca_system_score_gemma":0.00001598524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002543919,"about_ca_topic_score_gemma":9.640867e-7,"domain_scores_codex":[0.9982684,0.0002104532,0.0002465563,0.0003162838,0.000425666,0.0005326187],"domain_scores_gemma":[0.9985152,0.0004539102,0.00001565625,0.0004677392,0.0004423815,0.000105035],"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":[0.00001163676,0.00001734182,0.00001451571,0.00006941165,0.000003179592,4.202603e-7,0.00001016605,0.6367567,0.3594748,0.0002439302,0.00008254493,0.00331536],"study_design_scores_gemma":[0.0005063435,0.00008616095,0.0001852678,0.00003851819,5.769325e-7,6.186422e-7,0.00002690712,0.567374,0.4294546,0.00103942,0.00117692,0.0001107237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5987773,0.0001241357,0.3989269,0.0002921606,0.0001481125,0.0009222314,0.000007575478,0.0003668821,0.0004346293],"genre_scores_gemma":[0.9002436,0.000176655,0.09845789,0.000007739484,0.00006039897,0.0007469669,0.00001963088,0.00005748998,0.00022958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3014663,"threshold_uncertainty_score":0.5365255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702076559092089,"score_gpt":0.3869585221347589,"score_spread":0.339937756543838,"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."}}