{"id":"W568604016","doi":"","title":"Verification of Pervious Concrete Drainage Characteristics using Instrumentation","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subgrade; Pervious concrete; Geotechnical engineering; Drainage; Permeability (electromagnetism); Environmental science; Instrumentation (computer programming); Base course; Moisture; Asphalt concrete; Geology; Hydrology (agriculture); Cement; Materials science; Asphalt","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":[0.0004918831,0.0003509245,0.0002290612,0.0006389792,0.0004423427,0.000378372,0.0005547093,0.0003664122,0.001092094],"category_scores_gemma":[0.00135876,0.000203489,0.0001989971,0.0005070214,0.0004201945,0.0003812241,0.0003829222,0.0003533646,0.0002469104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475353,"about_ca_system_score_gemma":0.0005582538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003925347,"about_ca_topic_score_gemma":0.008058979,"domain_scores_codex":[0.999241,0.0001020616,0.00005698228,0.0001710727,0.0003127723,0.0001161229],"domain_scores_gemma":[0.9989488,0.0002992492,0.0001789716,0.0001205072,0.0004079083,0.00004470822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002723844,0.0003429341,0.1059352,0.0001259035,0.00001862802,0.0003726089,0.001593058,0.007091438,0.8449876,0.0004027107,0.0001692211,0.03868835],"study_design_scores_gemma":[0.00002201952,0.001351882,0.1073212,0.00002378708,0.00002767293,0.0002828159,0.0008892285,0.0187534,0.8683017,0.0001344856,0.002835488,0.0000562566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770304,0.0000320799,0.02071946,0.00001063422,0.000005133611,0.0001092002,0.000440441,0.0003157555,0.001336916],"genre_scores_gemma":[0.9895115,0.00004201282,0.0094506,0.000006439195,0.000001406093,0.00005682827,0.000184621,0.00002075157,0.0007258074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003925347,"threshold_uncertainty_score":0.00780499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531954448683198,"score_gpt":0.2128492355327206,"score_spread":0.1975296910458887,"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."}}