{"id":"W2592649233","doi":"10.5539/mas.v11n4p80","title":"Patterns of Urban Heat Island Effect in Adelaide: A Mobile Traverse Experiment","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of South Australia; CRC for Low Carbon Living","keywords":"Urban heat island; Context (archaeology); Traverse; Geography; Urban area; Urban climate; Economic shortage; Vegetation (pathology); Environmental science; Physical geography; Meteorology; Urban planning; Ecology; Archaeology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005288186,0.0001333632,0.0001744716,0.00005794993,0.0002730406,0.00006744656,0.0006751974,0.00004490259,0.0002732528],"category_scores_gemma":[0.0000171296,0.0001146524,0.00003161943,0.0001046425,0.0004872128,0.000316258,0.0002726312,0.00009323906,0.00008354766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975866,"about_ca_system_score_gemma":0.00002098039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007363146,"about_ca_topic_score_gemma":0.0003830101,"domain_scores_codex":[0.9984576,0.00001753179,0.0001953032,0.0004680156,0.0005180583,0.000343557],"domain_scores_gemma":[0.999143,0.00002628122,0.00007265195,0.0006522055,0.000004486448,0.0001013593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002406334,0.00006117528,0.2119482,0.00000804541,0.000001097506,0.000003333858,0.003042078,0.0007976934,0.7800149,0.0000456448,0.00008334985,0.00397047],"study_design_scores_gemma":[0.001323882,0.0002137828,0.3290266,0.00003716025,0.000007494115,0.000002684284,0.0001553095,0.04205241,0.6261896,0.0005297133,0.0001673902,0.0002939515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857143,0.00001347301,0.002779752,0.00001656545,0.00006987721,0.0005358027,0.000007478995,0.0000143607,0.01084843],"genre_scores_gemma":[0.9994808,0.000003508666,0.0001523303,0.00003346303,0.0000145006,0.0001407139,0.000001461752,0.000008535058,0.0001647147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1538253,"threshold_uncertainty_score":0.467539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00872764763119767,"score_gpt":0.2404847501423644,"score_spread":0.2317571025111667,"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."}}