{"id":"W4200229059","doi":"10.1021/acs.est.1c07344.s001","title":"Establishment\\nof HCFC-22 National–Provincial–Gridded\\nEmission Inventories in China and the Analysis of Emission Reduction\\nPotential","year":2021,"lang":"en","type":"paratext","venue":"Figshare","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Environmental science; China; Mathematics; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001784459,0.0002920157,0.0005817405,0.000455708,0.0001404948,0.00009697305,0.0002554439,0.0003437277,0.09939275],"category_scores_gemma":[0.0003363771,0.0002235081,0.0002037666,0.001368997,0.00002594731,0.0001942877,0.0001747977,0.0005270544,0.00007622095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365969,"about_ca_system_score_gemma":0.0002169702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005842118,"about_ca_topic_score_gemma":0.0000143153,"domain_scores_codex":[0.9983631,0.00007471671,0.0005174612,0.0003253747,0.0004904235,0.0002288876],"domain_scores_gemma":[0.9991422,0.00007796782,0.0001942145,0.000298135,0.0001895036,0.00009802938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003598283,0.00002919904,0.00002413163,0.0008768514,0.0002930539,0.000002981713,0.0005608781,0.0289995,0.0004413385,0.000004481672,0.9653617,0.003369868],"study_design_scores_gemma":[0.001831403,0.00002812684,0.003840295,0.008008848,0.0004824294,0.0000188152,0.0003423132,0.1421345,0.007092528,0.00006044348,0.8352329,0.0009274894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09838001,0.08559609,0.00003320643,0.0007757376,0.005665958,0.002692896,0.5682942,0.0003725474,0.2381894],"genre_scores_gemma":[0.4236769,0.004937625,0.0001369355,0.00005420086,0.00202583,0.0005289697,0.5043272,0.0001704266,0.06414191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3252969,"threshold_uncertainty_score":0.9114396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268418717671176,"score_gpt":0.2409422525376198,"score_spread":0.2282580653609081,"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."}}