{"id":"W4396532689","doi":"10.1007/978-3-031-54684-6_6","title":"Predicting the Change of CO2 Emissions Using a BNN-FA Method: A Case Study of Hebei Province","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Environmental science; Natural resource economics; Econometrics; 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":[0.0005335746,0.0007390974,0.0004673556,0.0006879689,0.0009503021,0.0006922018,0.0008490288,0.0009142138,0.0007402152],"category_scores_gemma":[0.000620396,0.0003240807,0.0005455176,0.001337264,0.0003966884,0.0004745875,0.0002423821,0.0004147645,0.0001129205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457,"about_ca_system_score_gemma":0.001745768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6639923,"about_ca_topic_score_gemma":0.6218845,"domain_scores_codex":[0.9998782,0.00002282417,0.000007505281,0.00003481522,0.0000276378,0.00002898483],"domain_scores_gemma":[0.9997538,0.0001352468,0.00001244773,0.00001387776,0.00006980383,0.00001482971],"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":[0.0001429365,0.0001606539,0.03008497,0.00006851122,0.00005775412,0.0006777921,0.0001640402,0.9206034,0.002874868,0.0005721321,0.001181781,0.04341112],"study_design_scores_gemma":[0.000007302289,0.00001751364,0.00806703,0.000003317464,0.00001582138,0.00001776977,0.0001205928,0.9902775,0.0009805247,0.0002108059,0.0002727977,0.000008951509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875143,0.0003234527,0.007690566,0.0001647097,0.00002425895,0.00002714004,0.000403274,0.0001552467,0.003697061],"genre_scores_gemma":[0.9891199,0.0001626739,0.008053281,0.00001419631,0.000006960876,0.00001060397,0.0003721906,0.00001648769,0.002243801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6639923,"threshold_uncertainty_score":0.6759729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525270097800715,"score_gpt":0.269746202710769,"score_spread":0.2244935017327618,"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."}}