{"id":"W4406660770","doi":"10.1016/j.ufug.2025.128690","title":"Differing seasonal trends in water use and water status between park and street trees","year":2025,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Urban park; Environmental science; Forestry; Environmental protection; Water resource management; Environmental planning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001652853,0.0002817549,0.0002787533,0.0001836048,0.0001793643,0.0001364308,0.0001296106,0.0001381858,0.0002091982],"category_scores_gemma":[0.00001625584,0.0002043781,0.00004692725,0.0001766775,0.0002309972,0.000612313,0.0003641415,0.0002597247,0.000011908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380116,"about_ca_system_score_gemma":0.000005535255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161583,"about_ca_topic_score_gemma":0.00175031,"domain_scores_codex":[0.9980935,0.00006975744,0.0003212268,0.0005487613,0.0002373154,0.000729415],"domain_scores_gemma":[0.9994506,0.00008432024,0.00003259768,0.0002405657,0.000005931504,0.0001860471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002920908,0.00001697417,0.9872716,0.00001387654,0.00002161527,0.00001759336,0.001090254,0.00005562498,0.002707024,0.00002963195,0.001577754,0.007168849],"study_design_scores_gemma":[0.0007780275,0.00005834819,0.9904518,0.00006769654,0.00004153514,0.000002568584,0.0000695488,0.000977718,0.004121111,0.0002276047,0.002936744,0.000267275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987273,0.0001163623,0.00009379985,0.000118147,0.00005733099,0.0001397353,0.00002508147,0.00005909015,0.0006631058],"genre_scores_gemma":[0.9962495,0.000008672765,0.0003047952,0.00006322374,0.00007196039,0.00002024435,0.0001451101,0.0000253355,0.00311118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006901574,"threshold_uncertainty_score":0.8334298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135568165450589,"score_gpt":0.2174628624802298,"score_spread":0.2039060459351709,"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."}}