{"id":"W2369458746","doi":"","title":"Comparative Analysis on Investment & Financing of Environmental Protection of Different Regions in China","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dispose pattern; Investment (military); China; Finance; Order (exchange); Business; Economics; Geography; Political science","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":[0.0008065996,0.0001976072,0.0002752728,0.001756719,0.0002801076,0.001071131,0.0003527247,0.0002448616,0.002235188],"category_scores_gemma":[0.002414465,0.0001693118,0.0004818036,0.001957186,0.0004196131,0.0006386124,0.0006188531,0.000265043,0.00009111351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003013032,"about_ca_system_score_gemma":0.001917254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04982621,"about_ca_topic_score_gemma":0.06710045,"domain_scores_codex":[0.9994618,0.0001060359,0.00003267735,0.00005996984,0.0001123679,0.0002271591],"domain_scores_gemma":[0.9983006,0.0003534449,0.0006432478,0.0000843723,0.0003248364,0.0002934672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003866566,0.00005631282,0.9532694,0.00009373837,0.0002633166,0.0009085027,0.0007600521,0.0100308,0.001526452,0.01209433,0.0008268387,0.01978359],"study_design_scores_gemma":[0.00001649418,0.0000412717,0.9933907,0.00002103757,0.00009097443,0.0001026781,0.0003993181,0.003362897,0.0003851819,0.0004700509,0.001711186,0.000008246243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963821,0.0004296723,0.00009270258,0.0001322754,0.000002259793,0.000006167157,0.0002498998,0.000003841118,0.002701096],"genre_scores_gemma":[0.9990643,0.00018668,0.0000322494,0.000008062379,0.000002286411,0.000002776388,0.0001945477,8.427569e-7,0.0005082819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04982621,"threshold_uncertainty_score":0.0990724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07073525993311387,"score_gpt":0.2956568817667315,"score_spread":0.2249216218336177,"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."}}