{"id":"W2393754684","doi":"","title":"Analysis on Investment Efficiency of Investment & Financing of Environmental Protection in China","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Open-ended investment company; China; Finance; Business; Umbrella fund; Return on investment; Economics; Natural resource economics; Macroeconomics; Production (economics)","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":[0.002082518,0.0002553565,0.0003056705,0.001684999,0.0002418541,0.001264309,0.0003687562,0.0002842988,0.00210858],"category_scores_gemma":[0.005759927,0.0002093562,0.000521827,0.001491383,0.0004820928,0.001103988,0.0005463543,0.0003840419,0.0001017094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193691,"about_ca_system_score_gemma":0.001974506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233915,"about_ca_topic_score_gemma":0.0146508,"domain_scores_codex":[0.998743,0.0002684098,0.00008568222,0.0001333616,0.0003742776,0.0003952165],"domain_scores_gemma":[0.9965068,0.001385803,0.0009462808,0.0001756567,0.0007391153,0.0002463472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003641705,0.0000876918,0.8050623,0.0001539107,0.0003304701,0.000699117,0.0005267915,0.0846045,0.001981705,0.05528733,0.001751116,0.049151],"study_design_scores_gemma":[0.00004338399,0.0001145234,0.8738903,0.00005233397,0.0001940395,0.0002252141,0.0003460582,0.1109829,0.001996867,0.008245002,0.003883419,0.00002586947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893079,0.0003685111,0.002054025,0.0002922761,0.000004585335,0.00002997995,0.0003363184,0.00001124405,0.007595156],"genre_scores_gemma":[0.9982193,0.0001725795,0.0002510744,0.00001270659,0.000007403183,0.000009919855,0.0002316758,0.000002900453,0.001092364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233915,"threshold_uncertainty_score":0.04441828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004706949927494,"score_gpt":0.3148988181908786,"score_spread":0.2848517486916037,"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."}}