{"id":"W4403866169","doi":"10.3390/world5040052","title":"Urban Heat Island and Environmental Degradation Analysis Utilizing a Remote Sensing Technique in Rapidly Urbanizing South Asian Cities","year":2024,"lang":"en","type":"article","venue":"World","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; St. Mary's University","funders":"","keywords":"Urban heat island; Environmental degradation; Degradation (telecommunications); Geography; Environmental science; Remote sensing; Meteorology; Computer science; Telecommunications; Ecology","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":[0.0002897349,0.0002541087,0.0001348615,0.001028052,0.0002150747,0.0004701649,0.0001288706,0.0001369616,0.0003876461],"category_scores_gemma":[0.0004069572,0.00009224503,0.000252288,0.001276773,0.0002043597,0.0002479063,0.0003207958,0.0001707039,0.00008295684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386323,"about_ca_system_score_gemma":0.0003382229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03698928,"about_ca_topic_score_gemma":0.05268157,"domain_scores_codex":[0.9999065,0.00002387141,0.00001156582,0.00001982754,0.00002058215,0.00001761304],"domain_scores_gemma":[0.9997811,0.00004132813,0.00006831399,0.00002317962,0.0000561958,0.00002991604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004836847,0.00006028583,0.9821467,0.00002872347,0.00005263241,0.0002552757,0.0008843404,0.003710959,0.003076489,0.0001313819,0.0001978426,0.009407104],"study_design_scores_gemma":[0.000001161625,0.00002505181,0.9909064,0.00000509653,0.00001942524,0.00006307527,0.002131967,0.006055686,0.0004930198,0.00004095304,0.0002517766,0.000006480693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992411,0.00001610703,0.0002284151,0.00001066878,6.685752e-7,0.000004848092,0.0001296952,0.000004096566,0.0003643409],"genre_scores_gemma":[0.9993396,0.00003313198,0.0002820446,0.000003348739,0.000001257018,0.000007280594,0.0002127281,0.000001301157,0.0001192405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03698928,"threshold_uncertainty_score":0.07354796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009522696593634725,"score_gpt":0.2076656701806653,"score_spread":0.1981429735870305,"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."}}