{"id":"W4409603805","doi":"10.61091/jcmcc127b-183","title":"Study on the Contribution of Shale Gas Exploitation and Utilization to Carbon Emission Reduction Based on LEAP Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Oil shale; Shale gas; Petroleum engineering; Carbon fibers; Environmental science; Waste management; Geology; Materials science; Engineering; Mathematics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053708,0.0005765856,0.0003436635,0.0007452047,0.0003328298,0.001056275,0.0007890508,0.0005690909,0.001219896],"category_scores_gemma":[0.001042354,0.0002295977,0.0007523771,0.0009002978,0.0003957927,0.001798337,0.0006917063,0.000674509,0.00009429702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969891,"about_ca_system_score_gemma":0.001039909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01582894,"about_ca_topic_score_gemma":0.006594596,"domain_scores_codex":[0.9997869,0.00006159501,0.000009715114,0.00004443157,0.00005871224,0.00003857419],"domain_scores_gemma":[0.9996539,0.0001810334,0.00003362991,0.00002121726,0.00008975318,0.00002043365],"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":[0.00005548563,0.00004411386,0.005741337,0.0001228725,0.00006238292,0.0002170998,0.00007520225,0.951228,0.002571677,0.02295177,0.0004772189,0.01645276],"study_design_scores_gemma":[0.000002079184,0.00001338866,0.0007773282,0.000005244333,0.00001585711,0.00001975201,0.00003562003,0.9942631,0.0007176753,0.003714441,0.0004296037,0.000005902506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150094,0.002219297,0.3428547,0.001417928,0.00009908169,0.00009367117,0.0005105934,0.0003010776,0.03749427],"genre_scores_gemma":[0.9920281,0.0006014627,0.004767237,0.00003080609,0.000009257687,0.00003106251,0.00009773877,0.00002009255,0.002414363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01582894,"threshold_uncertainty_score":0.03147358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364601639116099,"score_gpt":0.2688385181125356,"score_spread":0.2323783542009257,"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."}}