{"id":"W3196268264","doi":"10.3390/ijerph18179006","title":"Evaluation of the Policy Effect of China’s Environmental Interview System for Effective Air Quality Governance","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Social Science Fund of China","keywords":"Environmental governance; Incentive; Corporate governance; Sustainability; Environmental management system; Robustness (evolution); Environmental quality; Business; Government (linguistics); China; Environmental degradation; Sustainable development; Environmental economics; Environmental resource management; Economics; Political science; Finance; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01490663,0.0001300247,0.0004879124,0.0001924096,0.00008865025,0.0000289027,0.0004750948,0.00006651533,0.00017019],"category_scores_gemma":[0.001063977,0.0001133985,0.0002249779,0.0001002437,0.0002901687,0.0002887562,0.0002685885,0.0002592554,0.00001039614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002803692,"about_ca_system_score_gemma":0.0002306014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658764,"about_ca_topic_score_gemma":0.00002480099,"domain_scores_codex":[0.9966842,0.0009782178,0.001145792,0.0002740085,0.0006237048,0.0002940815],"domain_scores_gemma":[0.9976178,0.0004100864,0.001486842,0.0002620507,0.00005213694,0.0001710903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005695689,0.003285775,0.4418679,0.001193717,0.002477519,0.000008429321,0.001905216,0.000760601,0.006429645,0.1544145,0.000842296,0.3862448],"study_design_scores_gemma":[0.003120443,0.0009606087,0.9770854,0.000174466,0.0000123629,0.00005548886,0.0003687765,0.0005006067,0.004997888,0.004294407,0.008307427,0.0001221703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852828,0.005809382,0.0004151857,0.005478301,0.0003788874,0.0005289501,0.0009274227,0.000001630055,0.001177467],"genre_scores_gemma":[0.9973787,0.002100927,0.00008220904,0.00008975688,0.0001545663,0.0000378449,0.00002234845,0.00001665612,0.0001170072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5352175,"threshold_uncertainty_score":0.7331557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08563316372447978,"score_gpt":0.3731563591541683,"score_spread":0.2875231954296886,"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."}}