{"id":"W4396850241","doi":"10.1016/j.landurbplan.2024.105102","title":"Managing urban trees through storms in three United States cities","year":2024,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Florida; Tree Research and Education Endowment Fund; U.S. Department of Agriculture","keywords":"Geography; Storm; Environmental planning; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001729429,0.0001674599,0.0001740472,0.0001310398,0.0001334016,0.000122188,0.0001121796,0.00006316053,0.0003302326],"category_scores_gemma":[0.00000398435,0.0001337764,0.00002869988,0.0004055544,0.00007585678,0.0003716882,0.00009444626,0.000228728,0.00007194317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005088034,"about_ca_system_score_gemma":0.000008721492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007968077,"about_ca_topic_score_gemma":0.001394651,"domain_scores_codex":[0.998911,0.00002216833,0.0001783247,0.0003227588,0.0001808397,0.0003848906],"domain_scores_gemma":[0.9996665,0.0000882034,0.00002890665,0.000135834,0.000002305778,0.00007826399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001731759,0.000009499644,0.9350019,0.00004062907,0.000011277,0.0001051395,0.01055835,0.0006080228,0.00002571801,0.0003623946,0.05292866,0.0003310977],"study_design_scores_gemma":[0.0007430416,0.0002434221,0.6767961,0.0006039477,0.00004160273,0.00003257441,0.006865686,0.07961865,0.0000279769,0.006661258,0.2277094,0.0006563782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812781,0.006892268,0.0003123936,0.0009735819,0.000126506,0.0001206561,0.0000136361,0.000143237,0.01013965],"genre_scores_gemma":[0.9966305,0.0003389775,0.0001590865,0.0005605468,0.0001180924,0.00001036429,0.00006569165,0.00002333635,0.002093415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2582058,"threshold_uncertainty_score":0.5455242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187256377015619,"score_gpt":0.2487727590068499,"score_spread":0.230047121305288,"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."}}