{"id":"W1516486789","doi":"10.1029/2007gl032324","title":"Urban heat island in the subsurface","year":2007,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban heat island; Environmental science; Climate change; Work (physics); Climatology; Subsurface flow; Current (fluid); Geology; Meteorology; Groundwater; Geography; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001817625,0.00008350043,0.00008033948,0.00005032259,0.000145041,0.00004727988,0.0003773056,0.00003684987,0.0002170926],"category_scores_gemma":[0.0001057841,0.00005675857,0.00003780782,0.0006739983,0.0003671983,0.0001481781,0.0001124838,0.0004950245,0.001624632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751226,"about_ca_system_score_gemma":0.000006726497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00261998,"about_ca_topic_score_gemma":0.001294966,"domain_scores_codex":[0.9976982,0.0002370153,0.0001313434,0.0002638589,0.0009900624,0.0006795487],"domain_scores_gemma":[0.9989704,0.0006291429,0.000008117292,0.0002976789,0.000006739111,0.00008792844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008786038,0.000234781,0.2104475,0.000008109697,0.000005505663,0.0001740027,0.004526175,0.0001235509,0.3655687,0.0005412209,0.4149051,0.003377463],"study_design_scores_gemma":[0.0003563793,0.00009105785,0.9626355,0.000009750672,0.000001922498,0.000003586948,0.0002532495,0.0003317299,0.004430631,0.0006882045,0.03106368,0.0001343498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828033,0.00001214703,0.0001561346,0.006753714,0.00003681957,0.0002762874,0.000001855848,0.00001260732,0.009947136],"genre_scores_gemma":[0.9977407,0.000002612868,0.00005392149,0.001621489,0.000146162,0.00001536194,0.000005025834,0.000008411555,0.0004062571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.752188,"threshold_uncertainty_score":0.9991527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698459601855709,"score_gpt":0.3008962738650093,"score_spread":0.2739116778464522,"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."}}