{"id":"W152605525","doi":"10.48044/jauf.2009.011","title":"Identification of Significant Street Tree Inventory Parameters Using Multivariate Statistical Analyses","year":2009,"lang":"en","type":"article","venue":"Arboriculture & Urban Forestry","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Tree (set theory); Maple; Identification (biology); Tilia; Statistics; Mathematics; Forestry; Geography; Botany; Biology","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":[0.007396608,0.001007757,0.0007813102,0.002355914,0.0004657497,0.001179203,0.0006498088,0.0003835001,0.002024901],"category_scores_gemma":[0.02134183,0.0002311745,0.001482063,0.001482297,0.0005592476,0.001021391,0.0008225004,0.0008883719,0.0002500032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004589333,"about_ca_system_score_gemma":0.001041179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906239,"about_ca_topic_score_gemma":0.001824604,"domain_scores_codex":[0.9971456,0.001697957,0.0001830421,0.000285753,0.0004807024,0.0002069401],"domain_scores_gemma":[0.9737462,0.02261733,0.001113751,0.001120709,0.001089222,0.000312877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001269753,0.001021071,0.6459966,0.0001953425,0.0007662782,0.0004037798,0.0005784038,0.2110072,0.01426407,0.003396429,0.001029181,0.120072],"study_design_scores_gemma":[0.00003062603,0.0008465016,0.162302,0.00002367996,0.000158455,0.0001379917,0.0004280539,0.8281864,0.005163978,0.002157204,0.0004916054,0.00007359096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753373,0.000048214,0.1225463,0.000050452,0.000009595483,0.0002116613,0.0007316105,0.0003925532,0.0006721938],"genre_scores_gemma":[0.9755639,0.00001608889,0.02363327,0.000004194793,0.000004845747,0.0001276526,0.0005084139,0.00002463396,0.0001168424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007396608,"threshold_uncertainty_score":0.03911746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023215378464738,"score_gpt":0.3126715824423287,"score_spread":0.2724394286576813,"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."}}