{"id":"W7097916546","doi":"","title":"TransCanada’s Use of Technology to Meet Changing Demands on Measurement Prepared by:","year":2014,"lang":"en","type":"article","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Natural gas; Pipeline transport; Commodity; Production (economics); Metre; Power (physics); Prioritization; Energy (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001597872,0.0001104979,0.0001508579,0.0003484594,0.00002151647,0.000009353395,0.00008492687,0.000096091,0.00001792852],"category_scores_gemma":[0.00004678174,0.000101723,0.00002347651,0.0003238186,0.000008044423,0.00004898303,0.000005318368,0.00003397869,0.000003605469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309285,"about_ca_system_score_gemma":0.0000103361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002359877,"about_ca_topic_score_gemma":0.002213074,"domain_scores_codex":[0.9992905,0.00001444287,0.0001904596,0.0001191401,0.0001896335,0.0001958338],"domain_scores_gemma":[0.9996282,0.00000902783,0.00001774126,0.0002036084,0.00009832585,0.00004307704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007963614,0.00001127357,0.00002652797,0.00003076572,0.00005075133,2.261482e-7,0.0001840143,0.9221293,0.05188186,0.01096709,0.01331649,0.001393719],"study_design_scores_gemma":[0.000289561,0.000150768,0.00001173626,0.0001766934,0.00001877949,0.000001753293,0.0001116219,0.4052583,0.5531077,0.00004087505,0.040578,0.0002543007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0513837,0.00004436676,0.911923,0.0004991853,0.0004150153,0.0003699982,0.00001057629,0.0009291063,0.03442504],"genre_scores_gemma":[0.9964619,0.000001957405,0.003134066,0.00005742479,0.00001375165,0.00003345182,0.00000402827,0.00002841231,0.0002650098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9450782,"threshold_uncertainty_score":0.4148145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080327787589881,"score_gpt":0.1883571193656843,"score_spread":0.1775538414897855,"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."}}