{"id":"W7095150299","doi":"","title":"Copyright © Canadian Academy of Oriental and Occidental Culture Problems in China’s Carbon Finance Market and Countermeasures","year":2013,"lang":"en","type":"article","venue":"","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Legislation; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000457545,0.0001503198,0.0001401389,0.001010816,0.003889147,0.003672328,0.000385078,0.0006881308,0.02243065],"category_scores_gemma":[0.0008751733,0.0001204136,0.0001416059,0.002216613,0.002399308,0.001015716,0.0008097076,0.0005940835,0.0005051045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01254192,"about_ca_system_score_gemma":0.01887413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.73248,"about_ca_topic_score_gemma":0.8263254,"domain_scores_codex":[0.9997275,0.00002433314,0.00001227085,0.00003000083,0.00007992976,0.0001258836],"domain_scores_gemma":[0.9995211,0.00009010099,0.00008892603,0.00003346935,0.0001520761,0.0001144133],"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":[0.0001920653,0.0001229479,0.2433508,0.0003618188,0.00007376335,0.002890544,0.03323168,0.001311265,0.002021975,0.3639283,0.1657705,0.1867443],"study_design_scores_gemma":[0.00002334708,0.00002853014,0.410126,0.0001424397,0.00003385325,0.0002098192,0.02320103,0.0009332605,0.0006737921,0.009528072,0.5550438,0.00005598367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6233354,0.005128669,0.0002126453,0.02290783,0.000330245,0.00002946883,0.000459481,0.00003002418,0.3475663],"genre_scores_gemma":[0.9065847,0.002153225,0.0002056373,0.001416097,0.00007165945,0.0000112558,0.000110167,0.00001020465,0.08943705],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.73248,"threshold_uncertainty_score":0.538191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008624499800462303,"score_gpt":0.2351806075740844,"score_spread":0.2265561077736221,"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."}}