{"id":"W4415992108","doi":"10.1016/j.jenvman.2025.127914","title":"A network approach to promoting cold island connectivity for mitigating the urban heat island effect: Key areas and targeted strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stantec (Canada); Capital Regional District","funders":"Ministry of Science and Technology of the People's Republic of China; Consejo Interuniversitario Nacional","keywords":"Urban heat island; Urbanization; Urban planning; Key (lock); Urban climate; Field (mathematics); Sustainable development; Adaptation (eye); Climate change","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009211581,0.0002051258,0.0002565559,0.00005113708,0.0003336357,0.0001257763,0.0002093146,0.0000492412,0.00004020463],"category_scores_gemma":[0.00002438502,0.0001454486,0.00008260117,0.0001584231,0.0001270725,0.0002578022,0.0002502296,0.0001638478,0.000005066785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472442,"about_ca_system_score_gemma":0.000005713893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002075297,"about_ca_topic_score_gemma":0.00003983737,"domain_scores_codex":[0.9985831,0.0001331059,0.0003753947,0.0002812237,0.0003035372,0.0003236254],"domain_scores_gemma":[0.9993861,0.0001926503,0.0001498867,0.0001759905,0.000003347341,0.00009203557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001056214,0.001346985,0.714327,0.00089473,0.001205996,0.00005413593,0.009634964,0.0789578,0.06404034,0.005818448,0.1013667,0.02129671],"study_design_scores_gemma":[0.007393752,0.00257905,0.9200052,0.0007131944,0.0009780106,0.00009057476,0.005484607,0.01496434,0.006983683,0.007302653,0.03249582,0.001009141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978749,0.0003459978,0.01146519,0.0004513829,0.0001646772,0.001717157,0.0000157093,0.00001115003,0.007079681],"genre_scores_gemma":[0.9963611,0.00002232803,0.002503254,0.0003666741,0.0001077542,0.00009205026,0.000005214838,0.00001540537,0.0005261754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2056782,"threshold_uncertainty_score":0.5931223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004531390589675896,"score_gpt":0.1964030927379624,"score_spread":0.1918717021482866,"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."}}