{"id":"W4239981418","doi":"10.2523/88593-ms","title":"Operational Experience of Wet Gas Metering in Malaysia","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPE Asia Pacific Oil and Gas Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Exhibition; Citation; Library science; Asia pacific; Engineering; Computer science; World Wide Web; Geography; Archaeology; Business","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":[0.001324976,0.0002405518,0.0001624017,0.0002713822,0.0006565433,0.001152102,0.0003113066,0.0003831117,0.004974428],"category_scores_gemma":[0.00187682,0.0001393642,0.0001344992,0.0005348483,0.0005164254,0.001377802,0.001716662,0.0005638897,0.001274235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069686,"about_ca_system_score_gemma":0.0009838551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110778,"about_ca_topic_score_gemma":0.01449521,"domain_scores_codex":[0.9990958,0.0002953841,0.00005936677,0.00006817361,0.000283229,0.0001981525],"domain_scores_gemma":[0.9990292,0.0001748536,0.0001939857,0.0000520438,0.0002102745,0.0003396136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001907658,0.0009231076,0.2606763,0.0009018889,0.00009163044,0.004714635,0.1350338,0.01427665,0.02477603,0.004378418,0.03843773,0.5138822],"study_design_scores_gemma":[0.00004134208,0.004649492,0.4517256,0.0004808001,0.00005996936,0.002594398,0.2579301,0.007137977,0.0151034,0.000805809,0.259203,0.000268156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699256,0.001018299,0.00108232,0.001173064,0.0000486134,0.0000230044,0.0002837468,0.00007327647,0.02637212],"genre_scores_gemma":[0.9871242,0.0009265261,0.0004246475,0.0001163697,0.00001285783,0.00000763081,0.0001341016,0.00001758459,0.0112361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01110778,"threshold_uncertainty_score":0.02208626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849355905086237,"score_gpt":0.2428870423315205,"score_spread":0.2243934832806581,"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."}}