{"id":"W4393951055","doi":"10.1016/j.jclepro.2024.142064","title":"Integrated electric-gas system carbon abatement with a novel dispatch model: From the perspective of natural gas shippers","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Natural gas; Perspective (graphical); Environmental science; Waste management; Engineering; Environmental economics; Petroleum engineering; Computer science; Economics","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":[0.0006089743,0.0008197419,0.001097853,0.0002996312,0.0004326156,0.001666772,0.001228386,0.001601955,0.00407567],"category_scores_gemma":[0.001125933,0.0005375994,0.0006706573,0.0005516189,0.0005549883,0.001245815,0.0006558673,0.001233618,0.0002602184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439588,"about_ca_system_score_gemma":0.001728331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081125,"about_ca_topic_score_gemma":0.01786708,"domain_scores_codex":[0.9997752,0.00009962991,0.000006340461,0.00004074012,0.00003220339,0.00004592835],"domain_scores_gemma":[0.999684,0.0001619198,0.00004121522,0.00001467595,0.00005503105,0.00004313937],"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":[0.00002605441,0.00001415389,0.00008721246,0.000006703274,0.000008950747,0.00002934372,0.000005547001,0.9966677,0.0001028299,0.002267879,0.0001524858,0.0006312238],"study_design_scores_gemma":[0.00000660346,0.000007329264,0.00004322479,8.607604e-7,0.000003862277,0.000002192284,0.000005652506,0.9992133,0.00002403845,0.0006206454,0.00007019382,0.000002085528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4245078,0.0006367424,0.5197977,0.00180334,0.0002856197,0.000146532,0.0007609657,0.0003362061,0.05172507],"genre_scores_gemma":[0.9848508,0.0001154425,0.007727332,0.0000509718,0.0000300061,0.00003666757,0.00007893748,0.00003475431,0.007075077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02081125,"threshold_uncertainty_score":0.04138023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006304930359456711,"score_gpt":0.1983532022289481,"score_spread":0.1920482718694914,"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."}}