{"id":"W4409509079","doi":"10.5006/c2008-08672","title":"Development of an Equipment Integrity Management System for the Long Lake SAGD Commercial Facility","year":2008,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Integrity management; Petroleum engineering; Environmental science; Waste management; Engineering; Environmental engineering; Pipeline transport","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":[0.001801581,0.0002791809,0.0002309179,0.0009407575,0.0009800368,0.001101037,0.001403562,0.000599367,0.01076216],"category_scores_gemma":[0.00240973,0.0002604974,0.0001927769,0.0003774435,0.0002824272,0.001012782,0.0009700999,0.0007293844,0.003675356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167556,"about_ca_system_score_gemma":0.002821106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007774243,"about_ca_topic_score_gemma":0.005229901,"domain_scores_codex":[0.9992597,0.0001046833,0.00005322861,0.000101925,0.000401158,0.00007924304],"domain_scores_gemma":[0.9979054,0.0002167701,0.0001439315,0.0002603029,0.001229152,0.0002443976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.000737599,0.001299193,0.03383471,0.0003323612,0.00006321383,0.001808203,0.001548903,0.01970808,0.1177977,0.007761069,0.09843672,0.7166722],"study_design_scores_gemma":[0.0005795977,0.002919512,0.04305506,0.0003427531,0.0001358711,0.001749219,0.001001865,0.4382849,0.1166538,0.00226752,0.3927583,0.0002516408],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2597174,0.0003547275,0.5684335,0.003285682,0.0002678837,0.003676861,0.002295594,0.1043499,0.05761859],"genre_scores_gemma":[0.6474437,0.0002128824,0.3084812,0.0005168607,0.00008061508,0.001008546,0.005586723,0.001144159,0.03552536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01076216,"threshold_uncertainty_score":0.03600299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554835577217307,"score_gpt":0.2536575065777386,"score_spread":0.2181091508055655,"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."}}