{"id":"W4409799957","doi":"10.11159/iceptp25.131","title":"Evaluation of the Pollution by PhACs in the Zala River (Spas vs. WWTPs)","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; River pollution; Environmental science; Environmental planning; Computer science; Water resource management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342026,0.0002046265,0.0003100333,0.001145174,0.0004875703,0.0007997444,0.0001948875,0.000389599,0.0006644689],"category_scores_gemma":[0.0002158502,0.0001798602,0.0003711276,0.001106713,0.0002532037,0.0002823219,0.0003276365,0.0002223839,0.0001346955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006120375,"about_ca_system_score_gemma":0.0005496879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01789377,"about_ca_topic_score_gemma":0.03295283,"domain_scores_codex":[0.9997688,0.0000227507,0.00001721284,0.00008356455,0.00006899643,0.00003878042],"domain_scores_gemma":[0.9998012,0.00001787982,0.00008277038,0.000008688356,0.00007553396,0.00001398263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005275127,0.0001519925,0.6798213,0.0004668545,0.0001692563,0.000461984,0.001364632,0.001659062,0.286362,0.0003195992,0.0003244905,0.02837135],"study_design_scores_gemma":[0.000005036623,0.0003167193,0.9760972,0.00002068431,0.00009155916,0.0002267053,0.0009190721,0.001864649,0.01885041,0.00004622855,0.001547694,0.00001391436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976293,0.0003501181,0.0006985878,0.00001495148,0.000003158198,0.00001770851,0.0007196684,0.00001636608,0.0005501684],"genre_scores_gemma":[0.9972183,0.000286082,0.001336571,0.00001136689,0.000002255458,0.0000169515,0.0004836073,0.00000463392,0.0006402676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01789377,"threshold_uncertainty_score":0.0355792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00828076105924456,"score_gpt":0.2293277991346165,"score_spread":0.221047038075372,"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."}}