{"id":"W2551584922","doi":"10.1115/ipc2016-64212","title":"FortisBC 36-Inch High Pressure Line Isolation Using Double Block and Bleed Technology","year":2016,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring and Maintenance; Materials and Joining","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Timeline; Footprint; Pipeline (software); Block (permutation group theory); Isolation (microbiology); Bleed; Computer science; Engineering; Business; Mechanical engineering; Geography; Archaeology","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":[0.0001543632,0.0002142503,0.0002896104,0.0001292405,0.0002623811,0.0002087887,0.00005487658,0.000195801,0.00001013579],"category_scores_gemma":[0.00003976455,0.000163412,0.00001500767,0.00009439601,0.00006449725,0.0002614619,0.00006784724,0.0001060886,9.814866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002471564,"about_ca_system_score_gemma":0.00001037259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434984,"about_ca_topic_score_gemma":0.000005681625,"domain_scores_codex":[0.9990054,0.00001292815,0.0003218978,0.0002714756,0.00008089771,0.0003074445],"domain_scores_gemma":[0.9996506,0.00002174538,0.00003530947,0.0001552873,0.00005902493,0.00007801117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003954981,0.000007292026,0.001378171,0.0001752945,0.00007312264,0.000004778308,0.0001088183,0.04590253,0.9449548,0.001798835,0.00004640059,0.005510399],"study_design_scores_gemma":[0.01235982,0.0009521972,0.04611176,0.004907909,0.0006758887,0.001110393,0.001008703,0.3471086,0.5571495,0.005236723,0.0194673,0.003911172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792299,0.001324538,0.01785593,0.0002835485,0.0007615783,0.0001584491,0.00002136026,0.0003483893,0.00001625834],"genre_scores_gemma":[0.9893619,0.000885831,0.009028472,0.000005723898,0.0003306494,0.00002913233,0.000003138921,0.00003589357,0.0003192195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878053,"threshold_uncertainty_score":0.6663749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008918886398553883,"score_gpt":0.2134416735940293,"score_spread":0.2045227871954755,"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."}}