{"id":"W4280650310","doi":"10.3390/atmos13050830","title":"Conifers May Ameliorate Urban Heat Waves Better Than Broadleaf Trees: Evidence from Vancouver, Canada","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment Canada; Environment and Climate Change Canada","keywords":"Urban heat island; Environmental science; Heat wave; Tree planting; Albedo (alchemy); Temperate climate; Climate change; Land cover; Climatology; Atmospheric sciences; Geography; Meteorology; Land use; Agroforestry; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166722,0.0002175747,0.000215072,0.0004140056,0.001766218,0.001075935,0.0004916867,0.0002464158,0.001974116],"category_scores_gemma":[0.001069391,0.0001142936,0.0001629602,0.0009286958,0.0005874724,0.0001877332,0.0002820935,0.000343035,0.0001414033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007025547,"about_ca_system_score_gemma":0.008024419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815425,"about_ca_topic_score_gemma":0.9967318,"domain_scores_codex":[0.999752,0.00003938504,0.000007511113,0.00004412245,0.00006680864,0.0000901469],"domain_scores_gemma":[0.9989961,0.0001090852,0.0001260627,0.00004085936,0.0004834057,0.0002444224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004993854,0.0002244581,0.9441117,0.0001344548,0.000205182,0.000235658,0.001865771,0.0005911213,0.00274911,0.0006330835,0.002969728,0.04578028],"study_design_scores_gemma":[0.00001663302,0.00003695172,0.9931173,0.00004612798,0.00007350578,0.00002970939,0.00220121,0.0002924186,0.0002298141,0.0001188984,0.003830082,0.000007266344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890725,0.00167415,0.0001291088,0.0006747908,0.00001025812,0.00002092819,0.0004954055,0.000006807554,0.007916069],"genre_scores_gemma":[0.9951122,0.001644756,0.0001455578,0.0001548817,0.000004618013,0.00000470834,0.0002508626,0.000005100776,0.00267732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01845747,"threshold_uncertainty_score":0.05097419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009096110116891853,"score_gpt":0.191868557413116,"score_spread":0.1827724472962241,"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."}}