{"id":"W2898028542","doi":"10.1139/facets-2017-0109","title":"Investigating the impacts of plausible Canadian policies and their supporting mechanisms on export-based regional air pollution in China: A cement manufacturing case study","year":2018,"lang":"en","type":"article","venue":"FACETS","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"China; Business; Air quality index; Pollution; Air pollution; Natural resource economics; Political science; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006379139,0.0001548049,0.0001321166,0.00007113599,0.0003179536,0.00001823765,0.000105087,0.00004176265,0.0001594519],"category_scores_gemma":[0.00004853107,0.0001058489,0.00002605458,0.0001143657,0.0002800939,0.0001254338,0.0001009435,0.000121754,0.000004724851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005652827,"about_ca_system_score_gemma":0.0000521438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3556688,"about_ca_topic_score_gemma":0.3464403,"domain_scores_codex":[0.9988394,0.00009709087,0.0002459244,0.0002275474,0.0001969181,0.0003930547],"domain_scores_gemma":[0.999455,0.00002843669,0.0001210577,0.0001997982,0.0000027247,0.0001929253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000228943,0.0002750948,0.943209,0.00002212611,0.00001533747,0.00009565768,0.04074726,0.003540358,0.01011516,0.00006997201,0.000158821,0.001728324],"study_design_scores_gemma":[0.0003764241,0.0004788264,0.9343821,0.00001968271,0.000004894112,0.00005280431,0.02835017,0.0008334081,0.03486154,0.0004663143,0.00004897099,0.0001248767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978595,0.000003776536,0.00002646279,0.0012092,0.00002063599,0.0005575168,0.00001193537,0.00001022908,0.0003006884],"genre_scores_gemma":[0.9989336,4.305052e-7,0.0001398939,0.00086662,0.00001214701,0.0000157763,0.000002513015,0.000009782804,0.00001929508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02474638,"threshold_uncertainty_score":0.6654854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818333762711202,"score_gpt":0.2619243687376583,"score_spread":0.2437410311105463,"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."}}