{"id":"W2089761614","doi":"10.1021/es505426z","title":"Plant Functional Traits Predict Green Roof Ecosystem Services","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem services; Ecosystem; Green roof; Environmental science; Canopy; Carbon sequestration; Ecology; Leaf area index; Vegetation (pathology); Environmental resource management; Biology; Roof; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829382,0.0003108603,0.0001716948,0.0003133899,0.0001353845,0.0003281129,0.00009097478,0.0002081665,0.0006931531],"category_scores_gemma":[0.0006678763,0.00008950761,0.000235306,0.0002167527,0.0001891198,0.0002621458,0.0002090363,0.0002092543,0.0001474155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000242742,"about_ca_system_score_gemma":0.0001534294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00264065,"about_ca_topic_score_gemma":0.005707233,"domain_scores_codex":[0.9999119,0.00002834004,0.000004247061,0.00002064883,0.00001746233,0.0000174457],"domain_scores_gemma":[0.99949,0.0002133353,0.0001147567,0.00003567075,0.00005383971,0.00009240033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001479329,0.00008450227,0.9043804,0.0000219584,0.0001115375,0.00006375988,0.0000936526,0.004772026,0.08163154,0.0001282557,0.0001052272,0.008459045],"study_design_scores_gemma":[0.000001890722,0.00005765012,0.9909592,0.000001366832,0.00001408167,0.00003366475,0.00005810377,0.006598718,0.002117402,0.00007445292,0.00007924852,0.000004214567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994103,0.00001327379,0.0003799013,0.000004019131,4.418185e-7,0.00000139161,0.00006157035,0.000005863415,0.0001231999],"genre_scores_gemma":[0.9996299,0.000006461715,0.0002431057,0.000001930598,3.611931e-7,8.62245e-7,0.00006506383,0.000002032024,0.00005030875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00264065,"threshold_uncertainty_score":0.005250573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008786729917925982,"score_gpt":0.1783286059172075,"score_spread":0.1695418759992815,"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."}}