{"id":"W2561206711","doi":"10.21809/rilemtechlett.2016.24","title":"Pervious Concrete: Mix Design, Properties and Applications","year":2016,"lang":"en","type":"article","venue":"RILEM Technical Letters","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Manitoba","funders":"","keywords":"Pervious concrete; Impervious surface; Environmental science; Urban heat island; Portland cement; Stormwater; Surface runoff; Drainage; Clogging; Urbanization; Flooding (psychology); Civil engineering; Environmental engineering; Engineering; Cement","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":[0.0001444578,0.0001124022,0.00009343255,0.00002672078,0.0001400155,0.00002328672,0.0002384249,0.00004345564,0.0003538981],"category_scores_gemma":[0.00001717064,0.00007228983,0.00003083175,0.0001096676,0.0005148046,0.000164724,0.0002779641,0.00006153394,0.0006943363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404568,"about_ca_system_score_gemma":0.000002297372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004391946,"about_ca_topic_score_gemma":0.000006942611,"domain_scores_codex":[0.9990757,0.00003964652,0.000147738,0.000311975,0.0001751493,0.0002498277],"domain_scores_gemma":[0.9995146,0.00004832592,0.00003635231,0.0003139034,0.000002991049,0.00008385481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009457937,0.00001238718,0.004827839,0.000005424331,0.000009403974,0.000003528168,0.0000282872,0.00001791372,0.9280518,0.0005141524,0.05800075,0.008519113],"study_design_scores_gemma":[0.001144002,0.0001747064,0.06479684,0.00006756148,0.0001067517,0.00005145966,0.0000245618,0.0001902208,0.01687519,0.001142495,0.9144457,0.0009805087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1603186,0.0001651925,0.792695,0.03916071,0.00008053146,0.002227667,0.00001847278,0.0009261723,0.004407744],"genre_scores_gemma":[0.989204,0.00002675513,0.007669721,0.002042302,0.00004458271,0.0003884088,0.000001133697,0.0000163156,0.0006067373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9111766,"threshold_uncertainty_score":0.8924519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228156558120359,"score_gpt":0.1942348938959449,"score_spread":0.171419238083909,"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."}}