{"id":"W7110805716","doi":"10.1371/journal.pwat.0000352.s001","title":"Overflow discharge flow rates.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Combined sewer; Vulnerability (computing); Hydrograph; Hydrology (agriculture); Water quality; Flow conditions; Dilution; Flow (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004307819,0.000752637,0.000406969,0.001640548,0.0007336396,0.001638252,0.0007463262,0.000476206,0.04756822],"category_scores_gemma":[0.002204712,0.0002043956,0.0005342092,0.002402286,0.0002262965,0.0005046615,0.0006651309,0.0005192331,0.01147751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003303528,"about_ca_system_score_gemma":0.003807349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3216114,"about_ca_topic_score_gemma":0.3479183,"domain_scores_codex":[0.9994286,0.00003218301,0.00005622058,0.0001081442,0.0002788757,0.00009597559],"domain_scores_gemma":[0.9992192,0.00008809334,0.0001111054,0.00005898671,0.0004403105,0.00008239269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007434876,0.0002931958,0.3059345,0.0007203817,0.0001924034,0.0006016544,0.0008219242,0.0461657,0.004251511,0.008021432,0.166283,0.4659708],"study_design_scores_gemma":[0.000190907,0.0002833833,0.4458737,0.0002652851,0.0001475603,0.0004663449,0.0008881851,0.04820019,0.004962705,0.003800215,0.4946855,0.0002361235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2866041,0.001839924,0.0254276,0.001493343,0.0006046561,0.001587274,0.4054847,0.006781805,0.2701766],"genre_scores_gemma":[0.730356,0.001479414,0.01486901,0.0004441216,0.00009484519,0.0006430023,0.1061196,0.0004631995,0.1455308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3216114,"threshold_uncertainty_score":0.6394788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109309403192383,"score_gpt":0.2838447468535901,"score_spread":0.2527516528216663,"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."}}