{"id":"W4410558025","doi":"10.5194/icuc12-264","title":"Examining Race and Class Disparities in Urban Heat: Towards Environmental Justice in Urban Planning","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Environmental justice; Class (philosophy); Economic Justice; Geography; Sociology; Environmental planning; Political science; Gender studies; Computer science; Law","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":[0.004826461,0.0001952604,0.0003821052,0.001354049,0.002289076,0.002263524,0.0009401235,0.0004398498,0.002804465],"category_scores_gemma":[0.01197874,0.0001925553,0.0005892178,0.002704582,0.001438324,0.002540433,0.003541839,0.001444316,0.0001706424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969391,"about_ca_system_score_gemma":0.006265406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08119181,"about_ca_topic_score_gemma":0.1527144,"domain_scores_codex":[0.9977366,0.001303419,0.00008243034,0.0002109549,0.0003215098,0.000345161],"domain_scores_gemma":[0.9970568,0.0008766082,0.0006453429,0.0003487119,0.0004818704,0.000590601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009959004,0.0002661652,0.8030006,0.0002707352,0.0002011808,0.0001217025,0.02864723,0.0008593516,0.0002115092,0.01615319,0.005217491,0.1449512],"study_design_scores_gemma":[0.000012348,0.0001369917,0.8925828,0.0008619049,0.0001873523,0.00006889678,0.06270911,0.002416319,0.0003548016,0.0215594,0.01907387,0.00003624178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514036,0.002075065,0.006407206,0.01540141,0.0001523234,0.0002045763,0.0007680801,0.00002300759,0.02356486],"genre_scores_gemma":[0.9960711,0.0004295357,0.002341999,0.0004016946,0.00003053355,0.0001245729,0.0001397615,0.000007596103,0.0004532866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08119181,"threshold_uncertainty_score":0.1614385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519757357367726,"score_gpt":0.3230026021487311,"score_spread":0.2778050285750538,"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."}}