{"id":"W4408422321","doi":"10.5194/egusphere-egu25-850","title":"Assessing Urban Tree Responses to Climate and Pollution: Implications for Environmental Monitoring and Management","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Environmental planning; Environmental resource management; Pollution; Climate change; Tree (set theory); Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001608446,0.0004784099,0.0005530727,0.001016962,0.0003862709,0.0012655,0.0005912292,0.000455035,0.0007155962],"category_scores_gemma":[0.001329936,0.000179869,0.0002474515,0.002017042,0.0004019197,0.0007904453,0.0006257372,0.0002487029,0.000140664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005571972,"about_ca_system_score_gemma":0.0006655437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177726,"about_ca_topic_score_gemma":0.03310197,"domain_scores_codex":[0.9995803,0.000212563,0.00001781977,0.00008346987,0.00005921752,0.0000465114],"domain_scores_gemma":[0.9987185,0.0003745997,0.0004302982,0.0001045844,0.0002300822,0.0001419849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001497943,0.00009105345,0.8995508,0.0002341571,0.0001347181,0.00009603212,0.0005193309,0.004895214,0.00741125,0.0002603512,0.0005249442,0.08613237],"study_design_scores_gemma":[0.000004351355,0.0001434898,0.9900675,0.00005278546,0.00006506272,0.0000444705,0.00167349,0.004407895,0.001155996,0.0006650722,0.001702687,0.00001729718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762918,0.006112592,0.01217603,0.000874687,0.0000336818,0.00009531539,0.00131857,0.00009241333,0.003004866],"genre_scores_gemma":[0.9850515,0.003397346,0.01037874,0.00009868331,0.00005742494,0.00006749562,0.0005546531,0.00001724297,0.0003769523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177726,"threshold_uncertainty_score":0.02341741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909686572711079,"score_gpt":0.2889286511476383,"score_spread":0.2498317854205275,"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."}}