{"id":"W3126857487","doi":"10.1007/s11069-021-04565-4","title":"China's economic growth and haze pollution control","year":2021,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Haze; China; Pollution; Natural hazard; Environmental science; Environmental planning; Natural resource economics; Environmental protection; Geography; Meteorology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048007,0.0003256161,0.0002998601,0.001277383,0.0005620929,0.00158682,0.0002597559,0.0004543218,0.002109897],"category_scores_gemma":[0.0009464618,0.0001131253,0.0003975766,0.001817203,0.0007175842,0.0008956562,0.0007244732,0.0005004594,0.000129463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977673,"about_ca_system_score_gemma":0.003097261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1130374,"about_ca_topic_score_gemma":0.130648,"domain_scores_codex":[0.9997823,0.00002543199,0.00001396797,0.00003208201,0.0000598586,0.00008646701],"domain_scores_gemma":[0.9992079,0.0001074227,0.0002986556,0.00004148738,0.0001921134,0.000152422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002502839,0.0001541068,0.8631645,0.0002792362,0.0002764872,0.001233577,0.0008137396,0.02713824,0.002048435,0.05648521,0.009877549,0.0382787],"study_design_scores_gemma":[0.00002463122,0.00007972833,0.9551684,0.00003307168,0.0001040705,0.0001017158,0.000836061,0.0225633,0.0007693316,0.007064024,0.01322567,0.00002998064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744085,0.002498348,0.0007323453,0.005856165,0.00008564014,0.00001361173,0.0009234768,0.0000426492,0.01543924],"genre_scores_gemma":[0.9974782,0.0006805408,0.00004835814,0.00007749756,0.00004058845,0.000001957351,0.0001688884,0.000002601053,0.001501475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130374,"threshold_uncertainty_score":0.2247589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006527434278076477,"score_gpt":0.1883671236440759,"score_spread":0.1818396893659995,"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."}}