{"id":"W4389516103","doi":"10.48044/jauf.2023.025","title":"Modelling Four Neighbourhood-Scale Urban Forest Scenarios for 2050: Vancouver, Canada","year":2023,"lang":"en","type":"article","venue":"Arboriculture & Urban Forestry","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Canopy; Neighbourhood (mathematics); Urban forestry; Tree canopy; Scale (ratio); Geography; Tree planting; Urban forest; Environmental science; Tree (set theory); Climate change; Environmental resource management; Agroforestry; Ecology; Forestry; Cartography; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004895945,0.0005922447,0.0003963833,0.0006621037,0.001556097,0.001588216,0.002043206,0.001061292,0.003031916],"category_scores_gemma":[0.001132072,0.0004348808,0.000763551,0.001216139,0.0008506803,0.0004448515,0.0007889295,0.0007928602,0.0002429262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02299662,"about_ca_system_score_gemma":0.01019019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769629,"about_ca_topic_score_gemma":0.9845361,"domain_scores_codex":[0.9997247,0.00006288201,0.00001001934,0.00005385379,0.0000396235,0.0001089537],"domain_scores_gemma":[0.9993815,0.0001510424,0.000032566,0.00003583347,0.0002496523,0.0001493679],"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":[0.0001153842,0.00009407181,0.04670758,0.0000569712,0.00007031349,0.0002539304,0.0001324215,0.9453608,0.0003014668,0.001382651,0.001819348,0.003704991],"study_design_scores_gemma":[0.00008199905,0.00005977186,0.02967258,0.00004525853,0.0000548947,0.00003848617,0.0009538382,0.96522,0.0002215259,0.0007733044,0.002831861,0.00004642982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985115,0.0001569013,0.001908693,0.0003020561,0.00002212621,0.00007709289,0.004728806,0.00007510765,0.007614193],"genre_scores_gemma":[0.9945368,0.0001056491,0.001783167,0.00004883342,0.000002777443,0.00004239792,0.001613678,0.00001658653,0.001850081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02303708,"threshold_uncertainty_score":0.166853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321807349998261,"score_gpt":0.2056007720759774,"score_spread":0.1923826985759948,"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."}}