{"id":"W4390048228","doi":"10.48044/jauf.2023.026","title":"Which Tree Species Best Withstand Urban Stressors? Ask the Experts","year":2023,"lang":"en","type":"article","venue":"Arboriculture & Urban Forestry","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Albert-Ludwigs-Universität Freiburg; Eva Mayr-Stihl Stiftung; Hydro-Québec; Université du Québec en Outaouais; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Stressor; Urban forest; Urban forestry; Geography; Ecology; Environmental resource management; Environmental planning; Biology; Forestry; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002142792,0.0003576411,0.0002701647,0.00004429141,0.0006041331,0.0001257472,0.0006603449,0.0002108831,0.0009029629],"category_scores_gemma":[0.00005246304,0.0002093412,0.0001169834,0.001354751,0.0002729172,0.0003178528,0.0002738425,0.0003959833,0.00163707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980938,"about_ca_system_score_gemma":0.0000333128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009113103,"about_ca_topic_score_gemma":0.01665933,"domain_scores_codex":[0.9974883,0.00006944928,0.0003004329,0.0005829569,0.0007519519,0.000806917],"domain_scores_gemma":[0.9987733,0.00008716178,0.0001434595,0.0006935467,0.0000280281,0.0002745462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001232217,0.00004905666,0.4934967,0.000005434778,0.00001472747,0.00002021811,0.001992226,0.00005597647,0.0004198578,0.0007293391,0.5030433,0.0001608727],"study_design_scores_gemma":[0.0003643482,0.0001573301,0.6449884,0.00003848113,0.0000408076,0.00001084031,0.003440279,0.0001175194,0.0002075848,0.0002230081,0.350046,0.0003654352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226736,0.0004883538,0.000009644437,0.006168108,0.0004527642,0.0005058697,0.00004377335,0.0002878546,0.06937003],"genre_scores_gemma":[0.9369963,0.0002011703,0.00006342019,0.0004456652,0.0007969121,0.00007089868,0.00005216723,0.00004078528,0.06133269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1529973,"threshold_uncertainty_score":0.9991403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573048474038503,"score_gpt":0.2315685193826112,"score_spread":0.2158380346422262,"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."}}