{"id":"W4396915441","doi":"10.36939/ir.202405151630","title":"Taxonomic diversity, Pest Vulnerability, and Carbon Storage of the Urban Forest in Winnipeg, Manitoba, Canada","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; Research Manitoba","funders":"U.S. Department of Agriculture","keywords":"Urban forestry; Geography; Diversity (politics); Forest inventory; Vulnerability (computing); Forestry; Urban forest; Forest management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000486752,0.0003954707,0.0002956759,0.001557233,0.004359814,0.001612951,0.001332763,0.0002185538,0.002489203],"category_scores_gemma":[0.001232068,0.0003286939,0.0002770255,0.002921863,0.001019231,0.0004538735,0.0009194762,0.0004148775,0.0002381361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03389019,"about_ca_system_score_gemma":0.02996719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977119,"about_ca_topic_score_gemma":0.9995064,"domain_scores_codex":[0.9995977,0.00003203952,0.00001308718,0.00007346779,0.000135516,0.0001482342],"domain_scores_gemma":[0.9991207,0.00005046356,0.000102371,0.0000238519,0.000498104,0.0002045028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008574959,0.00005978088,0.9527739,0.0001323108,0.00008650021,0.0002845303,0.009116096,0.0004602919,0.0016612,0.001117887,0.00522192,0.02899986],"study_design_scores_gemma":[0.000007511825,0.00001648574,0.9825662,0.00008928926,0.00002387813,0.00007435941,0.01035053,0.0004936971,0.0001688996,0.00008071198,0.006110811,0.00001761924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870098,0.001256332,0.000429869,0.0007017069,0.00002043483,0.0001354295,0.003336357,0.00002086133,0.007089154],"genre_scores_gemma":[0.9926234,0.0009649508,0.001329843,0.0001502695,0.000004872308,0.00006428298,0.001277084,0.00001323551,0.003572074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03389019,"threshold_uncertainty_score":0.2458917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273740453400983,"score_gpt":0.2074827120814601,"score_spread":0.1947453075474503,"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."}}