{"id":"W2809330970","doi":"10.1061/(asce)up.1943-5444.0000466","title":"Acute Challenges and Solutions for Urban Forestry in Compact and Densifying Cities","year":2018,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Compact city; Urban forestry; Urban ecosystem; Impervious surface; Urban planning; Ecosystem services; Green infrastructure; Environmental planning; Urban forest; Geography; Vision; Typology; Zoning; Business; Environmental resource management; Forestry; Ecosystem; Civil engineering; Environmental science; Ecology; Engineering; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004093025,0.00009392781,0.0001798058,0.00008061427,0.0002294234,0.0000278725,0.00004560897,0.0000459027,0.000006549085],"category_scores_gemma":[0.00001406027,0.00007747197,0.00001202986,0.00003183971,0.0001779326,0.0001456117,0.00004486005,0.0001083345,0.000001200761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006480484,"about_ca_system_score_gemma":0.00003940742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002946339,"about_ca_topic_score_gemma":0.0002375534,"domain_scores_codex":[0.999262,0.00001561415,0.000232797,0.0001185767,0.000123363,0.0002476618],"domain_scores_gemma":[0.9996218,0.00006937895,0.0001246069,0.000039222,0.00001362213,0.0001313423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007696131,0.00001780323,0.965466,0.00002958154,0.00003012797,0.00001575564,0.01835233,0.000005744253,0.00007399647,0.00007724289,0.01011959,0.005734845],"study_design_scores_gemma":[0.0007275441,0.000300898,0.9794562,0.000199578,0.00001509565,0.0001669798,0.002938959,0.0001840985,0.00005141119,0.000249504,0.01557835,0.0001313411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990742,0.007440355,0.0003494516,0.0008578555,0.00006805685,0.00008314856,0.000001779625,0.000005426416,0.0004519783],"genre_scores_gemma":[0.9949206,0.0005362668,0.004170775,0.0001280508,0.00008545706,0.000001507962,7.305152e-7,0.000006433783,0.0001501422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541337,"threshold_uncertainty_score":0.3159215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07385713363372799,"score_gpt":0.2902526601834894,"score_spread":0.2163955265497614,"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."}}