{"id":"W2358474475","doi":"","title":"Alternative Legal Mechanism on Climate Change","year":2007,"lang":"en","type":"article","venue":"Zhongguo Huanjing Guanli Ganbu Xueyuan xuebao","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; Kyoto Protocol; Ozone layer; Climate change; Government (linguistics); Pollutant; Environmental science; China; Air pollution; Environmental protection; Pollution; Clean Development Mechanism; Business; Environmental planning; Natural resource economics; Ozone; Meteorology; Political science; Law; Chemistry; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007762196,0.0004790385,0.0003409173,0.0001301974,0.0006629652,0.0001002295,0.0006080241,0.0001810321,0.002631495],"category_scores_gemma":[0.00006791003,0.0004389519,0.0002109773,0.0003607989,0.0002861738,0.0005672982,0.0006476641,0.0004604887,0.003339531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006744198,"about_ca_system_score_gemma":0.000006921652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461228,"about_ca_topic_score_gemma":0.0008601286,"domain_scores_codex":[0.9962538,0.00005489043,0.000487019,0.0007948711,0.00102443,0.001384916],"domain_scores_gemma":[0.9985133,0.0001247941,0.000210046,0.0006442489,0.000009205246,0.0004984536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001104189,0.004064485,0.1293141,0.0001888542,0.0003260512,0.002140379,0.01508724,0.003589175,0.3118531,0.3294247,0.03980047,0.1631073],"study_design_scores_gemma":[0.006173884,0.003328651,0.2899067,0.0009218478,0.0002830887,0.0004388516,0.006628335,0.00614855,0.2859793,0.03485094,0.3590482,0.00629166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897708,0.00003357101,0.000904751,0.0009301057,0.0008467446,0.0005709903,0.00004393376,0.0002342284,0.09872768],"genre_scores_gemma":[0.9929199,0.00008812934,0.001253559,0.003436015,0.0005807125,0.00003702842,0.00001771746,0.00009392678,0.001572972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3192478,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327554558251075,"score_gpt":0.2667262745700552,"score_spread":0.2434507289875445,"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."}}