{"id":"W2055800743","doi":"10.1016/j.jaridenv.2006.03.020","title":"Effects of urbanization and land-use type on monthly extreme temperatures in a developing semi-arid region, Turkey","year":2006,"lang":"en","type":"article","venue":"Journal of Arid Environments","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Univariate; Arid; Trend analysis; Population; Linear regression; Inverse distance weighting; Statistic; Regression analysis; Environmental science; Urbanization; Statistics; Geography; Climate change; Climatology; Mathematics; Physical geography; Multivariate statistics; Demography; Multivariate interpolation; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001262154,0.0001174128,0.0001704261,0.00008349487,0.00004104041,0.0000187555,0.00008178881,0.00006564509,0.00001840876],"category_scores_gemma":[0.00006040454,0.00009853458,0.00002597446,0.0001397955,0.00005753693,0.0003130258,0.000040831,0.0001330667,0.000008677592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124067,"about_ca_system_score_gemma":0.000009201824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000179538,"about_ca_topic_score_gemma":0.00002696777,"domain_scores_codex":[0.9990279,0.00006298002,0.0003396785,0.0001403217,0.0002946045,0.0001345309],"domain_scores_gemma":[0.9995531,0.00007676557,0.000230757,0.00008957315,0.000005223388,0.00004461181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001155874,0.0001378936,0.9393034,0.00001825091,0.00001184851,0.00006291703,0.0001752788,0.008776993,0.04809112,0.00003751372,0.003105863,0.0001633199],"study_design_scores_gemma":[0.0007930684,0.0002002489,0.9751604,0.0001311231,0.00001850207,0.00002475718,0.000005226389,0.0002076826,0.02047332,0.0003173421,0.002559816,0.0001085091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999097,0.0001800672,0.0002147384,0.0000915385,0.00009314272,0.0001348478,0.000001173384,0.000003109429,0.0001843844],"genre_scores_gemma":[0.998692,0.0001921511,0.0007095063,0.0001045738,0.00004974667,0.00000142671,0.000005369022,0.00001283035,0.0002323767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.035857,"threshold_uncertainty_score":0.4018124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881941137521075,"score_gpt":0.1843095875716053,"score_spread":0.1754901761963945,"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."}}