{"id":"W4400362404","doi":"10.1038/s44284-024-00091-z","title":"Mitigating urban heat island through neighboring rural land cover","year":2024,"lang":"en","type":"article","venue":"Nature Cities","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Urban heat island; Land cover; Urban climate; Urbanization; Environmental science; Rural area; Geography; Environmental planning; Land use; Environmental resource management; Civil engineering; Meteorology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002142343,0.0002035737,0.0001421309,0.000756003,0.0004057287,0.0006514703,0.0003219368,0.0001319867,0.00219556],"category_scores_gemma":[0.0005954519,0.00007302684,0.0002485458,0.0009078092,0.0004389288,0.0005536948,0.0007262283,0.0001276173,0.0001905274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005036871,"about_ca_system_score_gemma":0.0006036239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540437,"about_ca_topic_score_gemma":0.04064958,"domain_scores_codex":[0.9998585,0.00003524719,0.00000673101,0.00002533695,0.00002741012,0.00004682288],"domain_scores_gemma":[0.9997745,0.00003115583,0.00005678264,0.00002480238,0.00007028323,0.00004251931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001178209,0.0001408062,0.8489268,0.0005161161,0.0002311047,0.0006715822,0.002119726,0.01457084,0.01648908,0.004347607,0.003100781,0.1087676],"study_design_scores_gemma":[0.000006799472,0.00008842431,0.976835,0.0000505962,0.0001034543,0.0001161459,0.00341667,0.008691571,0.001307807,0.0008250392,0.008539758,0.0000187264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914363,0.0003472777,0.002415854,0.0002134242,0.00001444331,0.00003274345,0.0003852815,0.00003968273,0.00511499],"genre_scores_gemma":[0.9989182,0.00008809327,0.0005083918,0.00001623812,0.000004607801,0.000009442276,0.0001408315,0.000002780186,0.0003114338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540437,"threshold_uncertainty_score":0.0306294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005635875459020115,"score_gpt":0.2246376783006379,"score_spread":0.2190018028416178,"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."}}