{"id":"W7084182227","doi":"","title":"Equitability of Policies to Address the Urban Heat Island Effect A Comparison of Portland and Vancouver","year":2025,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Urban heat island; Government (linguistics); Work (physics); Public policy; Population","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001987154,0.000275102,0.0003859409,0.001134663,0.002636249,0.004959482,0.0009639431,0.0007896327,0.01168903],"category_scores_gemma":[0.01248767,0.0002305696,0.0003767603,0.001684256,0.001099107,0.0008531648,0.001960084,0.001410548,0.0004401086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02341004,"about_ca_system_score_gemma":0.02848825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8929058,"about_ca_topic_score_gemma":0.959843,"domain_scores_codex":[0.996439,0.001026922,0.0001037233,0.0001448989,0.001013884,0.001271652],"domain_scores_gemma":[0.9945438,0.001241578,0.0002631683,0.0003080828,0.002759072,0.0008842226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004384079,0.002111232,0.4026578,0.0005397266,0.00085805,0.001726748,0.01072176,0.05322036,0.003006254,0.1717978,0.04440309,0.3045732],"study_design_scores_gemma":[0.0004497512,0.0007391743,0.8076103,0.0004615777,0.0004928418,0.0002550889,0.03292907,0.01462891,0.002285996,0.01229907,0.1277415,0.0001066411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6503626,0.0009776555,0.0004224429,0.003365975,0.00007887576,0.0001253938,0.0005944859,0.00002951498,0.3440431],"genre_scores_gemma":[0.9700581,0.0004441018,0.0001798723,0.0004200824,0.000009635241,0.00004316799,0.0002020679,0.00002242826,0.02862049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070942,"threshold_uncertainty_score":0.2154498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064013732659764,"score_gpt":0.2482382410467465,"score_spread":0.2375981037201489,"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."}}