{"id":"W2414197063","doi":"10.3390/f7060119","title":"Managing Tree Diversity: A Comparison of Suburban Development in Two Canadian Cities","year":2016,"lang":"en","type":"article","venue":"Forests","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Dalhousie University","keywords":"Geography; Species evenness; Species richness; Woodland; Urban forest; Urbanization; Habitat; Urban forestry; Agroforestry; Urban ecology; Human settlement; Land use; Forestry; Ecology; Environmental science; Archaeology; 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":[0.0004647486,0.0003269104,0.0003768042,0.001975492,0.002697602,0.001576445,0.001016416,0.0002662986,0.0009319613],"category_scores_gemma":[0.00127169,0.0002075448,0.000373122,0.004219521,0.000978509,0.0004367805,0.001196992,0.000283579,0.00009508104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03718818,"about_ca_system_score_gemma":0.02213438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930152,"about_ca_topic_score_gemma":0.9984433,"domain_scores_codex":[0.9992058,0.00006035491,0.00002267883,0.0001007409,0.0002431843,0.0003673284],"domain_scores_gemma":[0.9984,0.00009271014,0.0002351844,0.00006305205,0.000716736,0.0004922533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002866511,0.00005431914,0.9714422,0.00007930962,0.00009045004,0.0002553175,0.007051025,0.0008285417,0.001245264,0.0006474936,0.0009299984,0.01708951],"study_design_scores_gemma":[0.000003830521,0.00001727104,0.9948556,0.000008879227,0.00001411718,0.00002300504,0.003676437,0.0002458147,0.00008562575,0.00002288807,0.001037801,0.000008661743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966516,0.000179507,0.00007589735,0.00006925654,0.00000277428,0.00002791442,0.0005677758,0.00000530809,0.002420088],"genre_scores_gemma":[0.9984758,0.0001667821,0.0001457203,0.00002451878,0.000001536304,0.0000142587,0.0004939613,0.000004442367,0.0006729275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03718818,"threshold_uncertainty_score":0.2698203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771645752501016,"score_gpt":0.2603314177897127,"score_spread":0.2326149602647026,"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."}}