{"id":"W7162491147","doi":"10.47472/vtngcbrh","title":"Urban Climate Justice through Interpretable Ensemble Learning: Heat Exposure Inequities and Planning Strategies in Metro Vancouver","year":2025,"lang":"","type":"article","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental justice; Urban heat island; Climate change; Economic Justice; Urban planning; Climate justice; Urban climate","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":[0.001523819,0.0002155647,0.0003585414,0.0003533252,0.001852255,0.002864579,0.0009870247,0.000687381,0.002511337],"category_scores_gemma":[0.009108122,0.0001996632,0.0002653798,0.0008379036,0.0008192238,0.001165427,0.001687143,0.001432788,0.0001814624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005933209,"about_ca_system_score_gemma":0.005851872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.757359,"about_ca_topic_score_gemma":0.9095277,"domain_scores_codex":[0.9990502,0.0005114026,0.00002238062,0.0001312052,0.00009812882,0.0001867096],"domain_scores_gemma":[0.9978693,0.001095494,0.0001181411,0.0001766182,0.0004822162,0.0002581979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009829643,0.001510232,0.598674,0.0001251805,0.0004490403,0.0002844231,0.0162514,0.1646951,0.0008018843,0.01268142,0.007777865,0.1957666],"study_design_scores_gemma":[0.00008155721,0.0002593982,0.3377489,0.0001578765,0.000223739,0.00006364792,0.05331282,0.5687919,0.001457056,0.02741399,0.01035731,0.0001318802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921388,0.00006614162,0.00178454,0.0008375621,0.00001115657,0.00001659153,0.0001204193,0.00002426828,0.005000495],"genre_scores_gemma":[0.9984766,0.00003210389,0.0006966956,0.00002498994,0.000002298666,0.000007071879,0.00006433664,0.000006589196,0.0006893555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.242641,"threshold_uncertainty_score":0.4881399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161889418018562,"score_gpt":0.2735827650246131,"score_spread":0.2573938232227569,"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."}}