{"id":"W3187662514","doi":"10.1016/j.scs.2021.103228","title":"Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Land cover; Remote sensing; Arid; Urban heat island; Environmental science; Land use; Physical geography; Urban morphology; Geography; Urban climate; Cover (algebra); Meteorology; Urbanization; Urban planning; Geology; 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":[0.0004865765,0.0003405031,0.0002109072,0.0009055651,0.0008668239,0.0007767322,0.0007003649,0.0006263703,0.001272251],"category_scores_gemma":[0.001205491,0.0001716483,0.0006884299,0.00132295,0.0006686026,0.0004373236,0.0005306719,0.0004333408,0.0001650466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437273,"about_ca_system_score_gemma":0.00106731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08403868,"about_ca_topic_score_gemma":0.1226382,"domain_scores_codex":[0.9997159,0.00007389446,0.00001236925,0.00004724142,0.00006594069,0.00008472574],"domain_scores_gemma":[0.9994374,0.000243052,0.00009650593,0.0000398286,0.0001250664,0.00005805409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001769993,0.0008583014,0.9389431,0.0001103526,0.0001492045,0.0164156,0.005561798,0.007566232,0.002065189,0.00137468,0.001564348,0.02521414],"study_design_scores_gemma":[0.00002962285,0.0004583664,0.9124482,0.00004708576,0.0002076911,0.004435631,0.0444915,0.02957251,0.002366109,0.001020562,0.004864183,0.00005856432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986099,0.00003917095,0.0003337561,0.00008329862,0.000003584172,0.00001748197,0.0001367866,0.000006612197,0.0007693793],"genre_scores_gemma":[0.998393,0.00007550148,0.0008000503,0.00001225617,0.000005133013,0.00000820682,0.0001484906,0.000003629044,0.0005536652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08403868,"threshold_uncertainty_score":0.1670991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008033132564637795,"score_gpt":0.2200792372149418,"score_spread":0.212046104650304,"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."}}