{"id":"W4410129626","doi":"10.3390/buildings15091562","title":"Evaluating the Urban Heat Island Effect in Montreal: Urban Density, Vegetation, Demographic, and Thermal Landscape Analysis","year":2025,"lang":"en","type":"article","venue":"Buildings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Urban heat island; Vegetation (pathology); Geography; Urban landscape; Environmental science; Physical geography; Meteorology; Environmental planning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002486714,0.000378568,0.0001430664,0.0009666737,0.0004703065,0.0005353609,0.0003335626,0.0001241238,0.001576306],"category_scores_gemma":[0.000507453,0.00009791081,0.0002824404,0.001473475,0.0002883913,0.0001908909,0.0003741962,0.0001425223,0.00009260578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004184183,"about_ca_system_score_gemma":0.001644913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8437319,"about_ca_topic_score_gemma":0.9240127,"domain_scores_codex":[0.9998506,0.00002557788,0.000005107649,0.00002383107,0.00004976138,0.00004511013],"domain_scores_gemma":[0.9998098,0.0000256576,0.00004360295,0.000008653121,0.00006889761,0.00004337931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001307913,0.00008963919,0.9732416,0.00004977054,0.0001470256,0.0001546689,0.0005302346,0.006218433,0.004604112,0.0002551937,0.0008409659,0.01373757],"study_design_scores_gemma":[0.000001843977,0.00002947936,0.9967977,0.000002288057,0.00001542755,0.00001131498,0.0003421163,0.002132988,0.0002453641,0.00001031646,0.0004049238,0.00000622502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961746,0.00009471791,0.0006451502,0.0000264304,0.000002385388,0.00005503728,0.001396905,0.00002310006,0.001581714],"genre_scores_gemma":[0.9981503,0.00005121677,0.0004657031,0.000005459829,0.000002044381,0.00002005957,0.0007724045,0.000003424477,0.0005294024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1562681,"threshold_uncertainty_score":0.3143767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006511657159712299,"score_gpt":0.2525417651834292,"score_spread":0.2460301080237169,"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."}}