{"id":"W4385859446","doi":"10.1007/978-3-031-34593-7_71","title":"Influence of Biochar Amendment on Runoff Retention and Vegetation Cover for Extensive Green Roofs","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Green roof; Biochar; Vegetation (pathology); Sedum; Forb; Surface runoff; Rainwater harvesting; Native plant; Sowing; Hydrology (agriculture); Agronomy; Geography; Ecology; Introduced species; Roof; Biology","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":[0.000110714,0.0002115308,0.0002128225,0.0001313892,0.00002204409,0.000008633655,0.00006883232,0.0002063539,0.0000414551],"category_scores_gemma":[0.000114862,0.0002157864,0.00005148568,0.00005851616,0.0000379592,0.0000745848,0.0000469772,0.000180333,0.0000293042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839573,"about_ca_system_score_gemma":0.000005977048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005185453,"about_ca_topic_score_gemma":0.0002865352,"domain_scores_codex":[0.99906,0.000004527064,0.0002388558,0.0003194542,0.00021612,0.0001610413],"domain_scores_gemma":[0.9994833,0.000207287,0.0001005102,0.000157783,0.00001684341,0.00003429564],"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":[0.00001906062,0.000005136472,0.0002250436,0.0002033257,0.00001945579,0.000004134064,0.0003002201,0.9587019,0.03688573,0.0005500657,0.0000307625,0.003055176],"study_design_scores_gemma":[0.006823727,0.003586474,0.1599168,0.01688368,0.0007079841,0.00005439623,0.00001272306,0.3690525,0.2464941,0.1749326,0.01557947,0.00595554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8388691,0.001512783,0.1424338,0.0004647958,0.001009654,0.004623912,0.0002546126,0.0003746396,0.01045669],"genre_scores_gemma":[0.9973198,0.00008561722,0.0005320516,0.00006534972,0.00006075247,0.00004216696,0.00005736229,0.00005569268,0.001781216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5896493,"threshold_uncertainty_score":0.8799515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054843841275411,"score_gpt":0.1989921404279923,"score_spread":0.1884437020152382,"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."}}