{"id":"W4389541175","doi":"10.17118/11143/20845","title":"Blending of hydrogen into a natural gas distribution pipeline in BritishColumbia through a tee junction for reducing GHG emissions","year":2023,"lang":"en","type":"article","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Greenhouse gas; Natural gas; Pipeline (software); Environmental science; Hydrogen; Natural (archaeology); Waste management; Computer science; Engineering; Geology; Geography; Chemistry; Archaeology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069859,0.0001167274,0.0001878969,0.0001173542,0.0000675457,0.00002301633,0.00007274119,0.0001206174,0.00002129941],"category_scores_gemma":[0.0001784377,0.0001325922,0.00006361453,0.0008690308,0.00001384745,0.0002572623,0.00001847874,0.0001213642,0.000006580953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710072,"about_ca_system_score_gemma":0.00002323155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160081,"about_ca_topic_score_gemma":0.001020309,"domain_scores_codex":[0.9990281,0.00002114618,0.0004097994,0.000178592,0.0001199082,0.0002424772],"domain_scores_gemma":[0.9996458,0.00004949157,0.00004682316,0.0001296385,0.00009934789,0.00002892489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001601455,0.00001883658,0.0001353622,0.0002103655,0.00002762024,0.000003033912,0.000563058,0.8968017,0.08260638,0.0006876132,0.01473207,0.004197997],"study_design_scores_gemma":[0.0003670887,0.00001741721,0.00008753281,0.0003222451,0.00001179015,0.000008213619,0.0005033455,0.9243768,0.0728797,0.0003435584,0.0009396446,0.0001426681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6657717,0.0002339161,0.3275021,0.0001582797,0.001419605,0.0006934279,0.00005475312,0.001197192,0.00296902],"genre_scores_gemma":[0.9945763,0.00006061876,0.003319036,0.000004606125,0.00008991399,0.00009777545,0.0008824237,0.0000366658,0.00093268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288046,"threshold_uncertainty_score":0.5406954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008752870665588972,"score_gpt":0.2329006715552384,"score_spread":0.2241478008896494,"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."}}