{"id":"W4313469343","doi":"10.21203/rs.3.rs-2429610/v1","title":"Beating the Heat: Solution Sets for Developed Cities","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Index (typography); Urban heat island; Measure (data warehouse); Environmental science; Evaporative cooler; Meteorology; Computer science; Civil engineering; Geography; Engineering; Data mining","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":[0.006822375,0.001293309,0.001046946,0.005798786,0.000667078,0.002351085,0.001217966,0.001543282,0.002726933],"category_scores_gemma":[0.01949254,0.0003478931,0.001781472,0.003266868,0.001261624,0.001163152,0.00225352,0.00119754,0.0001144653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003287102,"about_ca_system_score_gemma":0.002505604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0099321,"about_ca_topic_score_gemma":0.01123975,"domain_scores_codex":[0.9979213,0.001049257,0.0001757599,0.0003067152,0.0003237118,0.000223335],"domain_scores_gemma":[0.982664,0.01384832,0.000930363,0.0006210191,0.001428896,0.0005073662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001954937,0.00036307,0.008053389,0.0002440076,0.0001639215,0.000093651,0.0001364984,0.9550486,0.0001964319,0.006406403,0.0009354522,0.0281631],"study_design_scores_gemma":[0.0001430466,0.000319633,0.004075589,0.00009007309,0.00007240807,0.00002390558,0.0003830838,0.9779097,0.0006863669,0.01526353,0.001002503,0.00003020088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9022964,0.0009106288,0.07884459,0.0008417122,0.00004092244,0.0005985302,0.004859735,0.0003849043,0.0112227],"genre_scores_gemma":[0.9077199,0.0002839178,0.08547466,0.0000635534,0.0000172591,0.0004800079,0.005002477,0.00003584864,0.0009224822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0099321,"threshold_uncertainty_score":0.0360806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1849044556857004,"score_gpt":0.4066089129555949,"score_spread":0.2217044572698945,"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."}}