{"id":"W4391321579","doi":"10.1038/s41598-024-52760-7","title":"Design and hydrologic performance estimation of highway filter drains using a novel analytical probabilistic model","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sizing; Surface runoff; Stormwater; Probabilistic logic; Computer science; Storm; Environmental science; Storm Water Management Model; Stormwater management; Hydrological modelling; Hydrology (agriculture); Filter (signal processing); Geology; Geotechnical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.001078116,0.0001059177,0.0001108955,0.0001119391,0.0001840328,0.0001457296,0.0000876822,0.00003830079,0.0001639603],"category_scores_gemma":[0.00004862516,0.0000873304,0.00003358188,0.0004844759,0.0005847277,0.0004388205,0.0001822356,0.00006576202,0.00002523898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416193,"about_ca_system_score_gemma":0.00003282478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001824674,"about_ca_topic_score_gemma":0.000001595075,"domain_scores_codex":[0.9984958,0.00001927444,0.0003258649,0.0005667976,0.0003710771,0.0002212071],"domain_scores_gemma":[0.9994484,0.00002606685,0.00008290871,0.0003696001,0.00001070156,0.00006234649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002349583,0.00004504757,0.001242242,0.00004645043,0.000008196428,0.00001698646,0.0002838823,0.9763622,0.02050318,0.00021078,0.0008957737,0.0003828805],"study_design_scores_gemma":[0.00003136854,0.00001645583,0.000790879,0.00002989888,0.00004732893,0.00006123755,0.000003354595,0.9927658,0.0007527238,0.005199458,0.0002032488,0.00009828531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6447152,0.00001627313,0.353876,0.00004375985,0.0003882827,0.0002467952,0.000001093513,0.00005270074,0.0006598136],"genre_scores_gemma":[0.9555328,5.86745e-7,0.04267464,0.000009173709,0.000005953305,0.000012948,0.000006663652,0.000008347816,0.001748811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112014,"threshold_uncertainty_score":0.3561231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04807478589540527,"score_gpt":0.2527605811316265,"score_spread":0.2046857952362212,"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."}}