{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002422257,0.0001961381,0.0002174996,0.0002340747,0.0005339325,0.0003522723,0.0002403741,0.0002649401,0.001204371],"category_scores_gemma":[0.0005778458,0.0001619931,0.0001788694,0.0003881815,0.0003371316,0.0002487753,0.0004211323,0.0004324795,0.0001953746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006783543,"about_ca_system_score_gemma":0.0004964619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04821976,"about_ca_topic_score_gemma":0.1251215,"domain_scores_codex":[0.9998261,0.0000562659,0.000006593523,0.00004836461,0.0000237882,0.00003890822],"domain_scores_gemma":[0.9996443,0.00009027493,0.00004119664,0.00004047781,0.00007717316,0.000106526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007184025,0.01341894,0.8002409,0.0001675627,0.0002887846,0.0009546945,0.01313147,0.01717533,0.1043999,0.0009499936,0.002194762,0.03989356],"study_design_scores_gemma":[0.00008951892,0.004280201,0.9725571,0.00001082207,0.00004804974,0.0001092732,0.004004239,0.009325204,0.007391693,0.0001636778,0.001989857,0.00003040719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995,0.000002171828,0.00006427741,0.000004793044,8.50303e-7,0.00001348864,0.00007949761,0.000002752668,0.000332032],"genre_scores_gemma":[0.9980476,0.00001231104,0.0004672752,0.0000146995,0.000001606827,0.0000752065,0.0002592824,0.000003368853,0.001118621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04821976,"threshold_uncertainty_score":0.09587812,"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."}}