{"id":"W2961478394","doi":"10.3390/ijerph16142556","title":"The Driving Forces of Point Source Wastewater Emission: Case Study of COD and NH4-N Discharges in Mainland China","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Wastewater; China; Mainland China; Environmental science; Point source; Environmental chemistry; Environmental engineering; Chemistry; Geography; Physics","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":[0.0005507536,0.0005299053,0.000399832,0.00134509,0.0006148709,0.0007242254,0.0007352859,0.000549332,0.0005925513],"category_scores_gemma":[0.000593853,0.0003076304,0.001255407,0.0020017,0.0005132182,0.0004434268,0.0008347462,0.0002541649,0.00007500986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00272402,"about_ca_system_score_gemma":0.001920426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2376196,"about_ca_topic_score_gemma":0.2308227,"domain_scores_codex":[0.9996231,0.00005817379,0.00002947461,0.00007732639,0.00009668463,0.0001152876],"domain_scores_gemma":[0.9995739,0.0001369263,0.0001097794,0.00003022209,0.00008731642,0.00006192896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001586563,0.0002427424,0.9254856,0.0001733195,0.0003459241,0.01024161,0.0008637615,0.04358552,0.004673596,0.0008759926,0.0006080597,0.01274533],"study_design_scores_gemma":[0.00003026349,0.0001224647,0.9151319,0.00001957782,0.0001711323,0.0005875843,0.003617451,0.07584463,0.002588062,0.0006377816,0.00118912,0.00005993435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990606,0.00007538175,0.0002027784,0.00004539726,0.000001623704,0.00001459406,0.0002051799,0.000007386626,0.0003870619],"genre_scores_gemma":[0.9987642,0.0001557735,0.00031336,0.000009060377,0.00000369723,0.00001198797,0.0002793873,0.000002954406,0.0004597378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376196,"threshold_uncertainty_score":0.472473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886496801502773,"score_gpt":0.3216660517955751,"score_spread":0.2928010837805474,"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."}}