{"id":"W4240755086","doi":"10.32920/14668800.v1","title":"Green Roofs as Urban Ecosystems: Ecological Structures, Functions, and Services","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Toronto Metropolitan University; Environment and Climate Change Canada","funders":"","keywords":"Green roof; Ecosystem services; Ecosystem; Abiotic component; Environmental science; Biota; Urban ecosystem; Environmental resource management; Habitat; Ecology; Vegetation (pathology); Urban heat island; Ecosystem engineer; Geography; Urban planning; Roof","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001459985,0.0002496876,0.0002674377,0.00003220831,0.0001296094,0.0001610787,0.000224632,0.0003924893,0.0136777],"category_scores_gemma":[0.0000111757,0.0002016855,0.00006816439,0.00007793149,0.00006869852,0.000146094,0.001197204,0.0003521118,0.0003460833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960386,"about_ca_system_score_gemma":0.00002696922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01088786,"about_ca_topic_score_gemma":0.02290052,"domain_scores_codex":[0.9983909,0.0001155337,0.0002744754,0.0007038467,0.0002854269,0.0002298622],"domain_scores_gemma":[0.9992989,0.00004391255,0.0001013962,0.0003985917,0.00001165121,0.0001455126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002520498,0.0001530962,0.9583429,0.0005742596,0.000145864,0.00009080829,0.001478695,0.001282095,0.001445176,0.0004820485,0.02874638,0.007233432],"study_design_scores_gemma":[0.0005444131,0.0001688402,0.92608,0.0001264442,0.0001459005,0.0001587522,0.001586835,0.004463274,0.0006766036,0.007661661,0.05738889,0.0009983665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965861,0.0004385932,0.0000885128,0.0002772644,0.0004823303,0.0004104741,0.00003625533,0.0001118493,0.03229368],"genre_scores_gemma":[0.9877097,0.00005576158,0.0005455561,0.0003835185,0.0001702687,0.00005560213,0.0003381047,0.00001676974,0.01072471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03226292,"threshold_uncertainty_score":0.9956987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008737376509779338,"score_gpt":0.2081939646254312,"score_spread":0.1994565881156518,"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."}}