{"id":"W2958275352","doi":"10.11628/ksppe.2016.19.3.175","title":"Research Trend and Policy Evaluation of Urban Tree Canopy and its Effect on Ecosystem Services","year":2016,"lang":"en","type":"article","venue":"Journal of People Plants and Environment","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Metropolitan area; Urban ecosystem; Urban forestry; Urban forest; Service (business); Ecosystem; Environmental resource management; Tree canopy; Forest ecology; Geography; Environmental planning; Business; Canopy; Urban planning; Forestry; Environmental science; Ecology","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":[0.004835228,0.0002703732,0.0004042132,0.001649149,0.0004192464,0.003048648,0.0007156204,0.0008949917,0.003699195],"category_scores_gemma":[0.01211521,0.0001374443,0.000468703,0.004348487,0.001141266,0.003034436,0.0006819989,0.001196601,0.0001753295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004955883,"about_ca_system_score_gemma":0.007672606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686172,"about_ca_topic_score_gemma":0.01486829,"domain_scores_codex":[0.9969935,0.00168049,0.0001881536,0.0003606593,0.0004917042,0.0002854861],"domain_scores_gemma":[0.9825351,0.009546042,0.00273718,0.0003607794,0.004272973,0.0005480022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001318097,0.001120334,0.2108837,0.01814539,0.0007870958,0.000722195,0.002667832,0.01187001,0.003051461,0.2370141,0.0126512,0.4997686],"study_design_scores_gemma":[0.000132292,0.001883711,0.5870121,0.01977167,0.002248702,0.0007041628,0.04513698,0.02306052,0.009530999,0.06826293,0.2420672,0.0001887539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4940589,0.3607028,0.004492364,0.07957481,0.0008905419,0.0001355789,0.001209308,0.00006997523,0.05886575],"genre_scores_gemma":[0.9178791,0.07804985,0.001189644,0.001494504,0.000187973,0.00003928984,0.0001982582,0.00001152569,0.0009498544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01686172,"threshold_uncertainty_score":0.03595763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978232588600467,"score_gpt":0.3057374828276115,"score_spread":0.2759551569416068,"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."}}