{"id":"W7036886419","doi":"","title":"Climate change vulnerability assessment of the urban forest in three Canadian cities","year":2015,"lang":"en","type":"other","venue":"Bogotá (Banco de la República)","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Urban forest; Vulnerability (computing); Urban climate; Urban forestry; Vulnerability assessment; Urban ecosystem; Adaptive capacity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006735421,0.0002357984,0.0004075154,0.0000416385,0.0001156579,0.00003875278,0.0004258917,0.0003087104,0.0006700042],"category_scores_gemma":[0.00008143937,0.00008361825,0.0001233932,0.0003780576,0.000217501,0.00002934882,0.0001553395,0.0002698848,0.000006647913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449357,"about_ca_system_score_gemma":0.0000879885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3531156,"about_ca_topic_score_gemma":0.9741486,"domain_scores_codex":[0.9984846,0.000223795,0.0002496703,0.0003270908,0.0002625167,0.0004523782],"domain_scores_gemma":[0.9992446,0.0001523425,0.0002018073,0.0002081213,0.00004974854,0.0001433219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003558965,0.00003040642,0.7996296,0.00003125823,0.00001331736,0.000004376078,0.0000715365,5.759148e-7,0.00001903424,0.001556076,0.1971429,0.001497315],"study_design_scores_gemma":[0.00006154291,0.00003421105,0.5749053,0.00009593574,0.000008860782,0.000001917786,0.00002300958,0.00001384564,7.657422e-7,0.0004773865,0.4242619,0.0001152795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08725414,0.001528867,2.73416e-7,0.002375151,0.0002764836,0.0008557572,0.001345146,0.0000650455,0.9062991],"genre_scores_gemma":[0.9571322,0.0003843292,0.00007726782,0.0004922014,0.0008304798,0.0002471251,0.0001066755,0.00001861527,0.04071112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8698781,"threshold_uncertainty_score":0.7336075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081119230538308,"score_gpt":0.282752430884893,"score_spread":0.24194123857951,"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."}}