{"id":"W4308695131","doi":"10.3390/app122211403","title":"Water Quality Modelling, Monitoring, and Mitigation","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Water quality; Environmental planning; Environmental resource management; Resource (disambiguation); Quality (philosophy); Environmental science; Business; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001202998,0.00005966642,0.00005957255,0.0000189876,0.0008973399,0.00004830815,0.0001700826,0.00001272789,0.001302262],"category_scores_gemma":[0.000001124329,0.00004515091,0.00001360915,0.0001167372,0.0003045541,0.0001131208,0.0002724901,0.00007553155,0.00008519556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000058749,"about_ca_system_score_gemma":0.000005491747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003531835,"about_ca_topic_score_gemma":0.00000495977,"domain_scores_codex":[0.9989077,0.00007247399,0.000133616,0.0002541408,0.0004458963,0.0001861734],"domain_scores_gemma":[0.9998072,0.00001865717,0.00003549494,0.00008716255,0.000001283938,0.00005015604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004169229,0.0002806895,0.1344503,0.00002080329,0.00001493993,0.00000265276,0.02670198,0.5006489,0.2442181,0.08177906,0.001894204,0.009946674],"study_design_scores_gemma":[0.001475917,0.000457125,0.1208715,0.000007921204,0.00003302134,0.00002118748,0.01501097,0.03299572,0.4442865,0.1699238,0.2132402,0.001676238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813485,0.000008851087,0.001213432,0.0007147515,0.0001134117,0.00009393974,0.000002933056,0.00002832367,0.01647585],"genre_scores_gemma":[0.9975323,0.000002976863,0.001743519,0.0001833881,0.00002066081,0.0000437572,0.000002286125,0.000002235692,0.000468848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4676532,"threshold_uncertainty_score":0.9996107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05546343623364892,"score_gpt":0.3001987046222681,"score_spread":0.2447352683886192,"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."}}