{"id":"W2047001552","doi":"10.2118/2008-077-ea","title":"SAGD Over Bottomwater - Optimum Utilization of Edge Pairs","year":2008,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Energy (Canada)","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005939993,0.000109677,0.0001250829,0.0002088422,0.00005711738,0.00003244778,0.0004020656,0.00006569315,0.0008147337],"category_scores_gemma":[0.000003910262,0.0001166234,0.00004803235,0.00007584713,0.00006014107,0.0001645587,0.00002428837,0.00009913728,0.00007133046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774552,"about_ca_system_score_gemma":0.0001352789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009421701,"about_ca_topic_score_gemma":0.01435706,"domain_scores_codex":[0.9992437,0.00001957199,0.0002596392,0.0001172373,0.0001788012,0.0001809953],"domain_scores_gemma":[0.9994057,0.00001643881,0.00004109378,0.0002311588,0.0001497032,0.0001559424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001294505,0.0003224584,0.5384483,0.0004795788,0.001919845,0.0002581961,0.01416394,0.1781064,0.112284,0.07118542,0.06332033,0.0193821],"study_design_scores_gemma":[0.0008555473,0.00004596237,0.0832631,0.0001313516,0.00001417536,0.0000782097,0.0002642894,0.2898028,0.01775201,0.0004516173,0.6067911,0.0005497902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327002,0.0001248872,0.008224347,0.0003488908,0.0003711244,0.00007197017,0.00008938021,0.00008810234,0.05798116],"genre_scores_gemma":[0.9980378,0.0001458453,0.0002251939,0.00006707495,0.00006105909,0.00001521587,0.00007644709,0.00001818755,0.001353228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5434708,"threshold_uncertainty_score":0.9971746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401211547243203,"score_gpt":0.2308690447360646,"score_spread":0.1907478900117442,"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."}}