{"id":"W2793737402","doi":"10.1088/1755-1315/121/3/032054","title":"Experimental and numerical study of wastewater pollution in Yuhui channel, Jiashan city","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Quantum chaos and dynamical systems","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Wastewater; Environmental science; Pollutant; Channel (broadcasting); Sewage treatment; Pollution; China; Environmental engineering; Waste management; Engineering; Geography; Telecommunications","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":[0.0001112217,0.0001076556,0.0001475594,0.00003924072,0.0001609889,0.00004654,0.00009393831,0.00001775589,0.0002037742],"category_scores_gemma":[0.000001302072,0.0000874722,0.00001165766,0.00009729272,0.0008863117,0.0003250301,0.0001540063,0.0000528436,0.000004291227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075565,"about_ca_system_score_gemma":0.00001208708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008045714,"about_ca_topic_score_gemma":0.00002182186,"domain_scores_codex":[0.9991149,0.00002531494,0.0001610988,0.0002878144,0.0001832066,0.0002276936],"domain_scores_gemma":[0.9997182,0.000004659353,0.00004955089,0.0001056925,0.000004898981,0.0001169763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001228183,0.000850093,0.217324,0.000007599616,0.00001087191,0.000002424196,0.01100374,0.00001640421,0.7632434,0.002484054,0.000002460424,0.004932132],"study_design_scores_gemma":[0.001025828,0.002090757,0.6534163,0.00002876993,0.000005713091,0.000006001717,0.03226879,0.005914253,0.3044863,0.0003744228,0.00008577186,0.0002970396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990555,0.0000182677,0.00008257013,0.00003083469,0.00005973519,0.0001735885,0.00001509692,0.000004443126,0.0005599614],"genre_scores_gemma":[0.9998528,0.000001195566,0.00002424745,0.000009328523,0.00003808812,0.00000895235,0.000002715699,0.000003093777,0.00005954224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4587571,"threshold_uncertainty_score":0.3567013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297869023242118,"score_gpt":0.2238122696231684,"score_spread":0.2108335793907473,"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."}}