{"id":"W3021955098","doi":"","title":"A Tagless Approach To Process Leak Detection and Repair","year":2000,"lang":"en","type":"article","venue":"16th World Petroleum Congress","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Process (computing); Leak detection; Leak; Computer science; Business; Risk analysis (engineering); Engineering; Operating system","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":[0.0007634698,0.001178815,0.001006127,0.001136466,0.0007904717,0.001746582,0.002106658,0.001722582,0.003347196],"category_scores_gemma":[0.002167373,0.0006274505,0.000781943,0.0008536685,0.001013482,0.002423987,0.001587189,0.001441189,0.002964048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005472567,"about_ca_system_score_gemma":0.0009816899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009396049,"about_ca_topic_score_gemma":0.001355619,"domain_scores_codex":[0.9985721,0.0002009078,0.0000698581,0.0002598295,0.0007861788,0.0001110791],"domain_scores_gemma":[0.9984834,0.0002981924,0.0001343702,0.0005818785,0.0004563836,0.00004587206],"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":[0.0006238821,0.0003383039,0.000497503,0.0001743092,0.00008185516,0.0002066807,0.0001154206,0.04477064,0.1843277,0.05205915,0.006798753,0.7100058],"study_design_scores_gemma":[0.00005672175,0.0004117308,0.000436053,0.00002393842,0.0001036509,0.0005485068,0.00003999213,0.8142781,0.1228524,0.04687631,0.01431025,0.00006244726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001529715,0.00008997138,0.9970224,0.00005892993,0.00007085647,0.00001661377,0.00001609731,0.0005970859,0.0005983608],"genre_scores_gemma":[0.1948441,0.0004948761,0.7862157,0.0005692644,0.0002494531,0.0001057347,0.0001891238,0.0002588361,0.01707297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003347196,"threshold_uncertainty_score":0.01119745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006175107688726744,"score_gpt":0.2091659688106486,"score_spread":0.2029908611219218,"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."}}