{"id":"W6887758347","doi":"10.17605/osf.io/m36jd","title":"Increasing functional diversity of the urban canopy for climate resilience: Potential tradeoffs with ecosystem services?","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem; Tree (set theory); Canopy; Climate change; Functional diversity; Urban ecosystem; Vegetation (pathology); Ecosystem services","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":[0.002379268,0.000274875,0.000462705,0.001306408,0.001268364,0.00214569,0.00133107,0.0006517094,0.009007462],"category_scores_gemma":[0.007198339,0.0001940645,0.0004809838,0.003239948,0.001207148,0.001856223,0.0008799089,0.000682932,0.0004113068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008424828,"about_ca_system_score_gemma":0.00617778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8303068,"about_ca_topic_score_gemma":0.9546832,"domain_scores_codex":[0.9990031,0.0003165483,0.00002714418,0.0002006973,0.00011032,0.000342286],"domain_scores_gemma":[0.9948947,0.001251431,0.0007649842,0.0007770457,0.001358366,0.0009534592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003677672,0.00006597653,0.9413921,0.0001523147,0.000531439,0.00010005,0.0007924635,0.005038872,0.001882306,0.007388338,0.01135353,0.03093472],"study_design_scores_gemma":[0.00001610238,0.00001649857,0.9844596,0.00008610281,0.0001325085,0.00003565942,0.001282047,0.005442956,0.0003634577,0.002113624,0.006028251,0.00002326929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650044,0.001534218,0.002282696,0.0053411,0.00003216731,0.00003482656,0.01459692,0.00005788212,0.01111569],"genre_scores_gemma":[0.9975841,0.0001172254,0.0006769288,0.0002059174,0.00001043373,0.000009657703,0.0009099839,0.00001901491,0.0004668066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8303068,"threshold_uncertainty_score":0.341385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007856308500091664,"score_gpt":0.2035100697576085,"score_spread":0.1956537612575168,"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."}}