{"id":"W2810970914","doi":"10.1002/hyp.13213","title":"Stormwater capture and antecedent moisture characteristics of permeable pavements","year":2018,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Antecedent (behavioral psychology); Antecedent moisture; Stormwater; Environmental science; Water content; Hydrology (agriculture); Event (particle physics); Range (aeronautics); Surface runoff; Moisture; Soil science; Geotechnical engineering; Meteorology; Runoff curve number; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001070029,0.0001364684,0.0001634963,0.00001855989,0.0001397453,0.00002178971,0.0001975283,0.00008009612,0.001448833],"category_scores_gemma":[0.00005939461,0.00009537218,0.00001986012,0.0001551726,0.0006119294,0.0001580354,0.0003254899,0.00008529642,0.0001797548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003584586,"about_ca_system_score_gemma":0.00000508815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009619231,"about_ca_topic_score_gemma":0.00008251479,"domain_scores_codex":[0.9990038,0.00002158211,0.0001911536,0.0003018584,0.0002254625,0.0002561618],"domain_scores_gemma":[0.99963,0.00001721586,0.00009044679,0.0001654226,0.00002460221,0.00007226361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129699,0.0006924333,0.9593955,0.000252185,0.00006137018,0.00002505735,0.002381022,0.00004316956,0.02375358,0.0001819084,0.01206609,0.001034706],"study_design_scores_gemma":[0.0007528643,0.001220402,0.8625153,0.00004993465,0.0001164335,0.00002352902,0.0001788449,0.001095246,0.008061418,0.00289322,0.1224744,0.000618374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903321,0.00006423611,0.0004367539,0.0002556093,0.00006323612,0.0001697668,0.00001278276,0.00004836989,0.008617201],"genre_scores_gemma":[0.9973994,0.00004620046,0.0003083651,0.0003831158,0.00004814712,0.00001681288,0.000009689309,0.000008051802,0.001780184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1104083,"threshold_uncertainty_score":0.999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280983490726143,"score_gpt":0.2140933014195522,"score_spread":0.2012834665122908,"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."}}