{"id":"W2279036626","doi":"10.3390/rs8020108","title":"Daytime Thermal Anisotropy of Urban Neighbourhoods: Morphological Causation","year":2016,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anisotropy; Daytime; Atmospheric sciences; Thermal; Irradiance; Environmental science; Meteorology; Computational physics; Materials science; Geology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002356421,0.0002484685,0.000285399,0.0004203602,0.0003671607,0.0009366857,0.0004093194,0.0002194774,0.001526519],"category_scores_gemma":[0.001026159,0.0002489684,0.0006260611,0.0004933472,0.0003562102,0.00038447,0.0003728742,0.0002592447,0.0001834551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046657,"about_ca_system_score_gemma":0.0003747872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0355689,"about_ca_topic_score_gemma":0.03081462,"domain_scores_codex":[0.9998564,0.00002529494,0.000007014778,0.0000403031,0.00002804485,0.00004300746],"domain_scores_gemma":[0.9995522,0.000109547,0.00008115364,0.0000998823,0.0001027182,0.00005451537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004021465,0.0001176221,0.3017153,0.00007400853,0.0001327383,0.0004490784,0.0003137682,0.6718432,0.009533261,0.002269631,0.00127314,0.01187618],"study_design_scores_gemma":[0.00002721153,0.00003519513,0.3208656,0.0000120858,0.00003732106,0.0001719945,0.0003241292,0.6743146,0.002048235,0.001065302,0.001060757,0.00003755209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943852,0.00005767504,0.001672509,0.00004193332,0.000004764866,0.00000975623,0.0003837017,0.00005790221,0.003386624],"genre_scores_gemma":[0.9994699,0.00001582269,0.0001837789,0.000001777921,0.000001235074,0.000001569491,0.0001689895,0.00001303743,0.0001439426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0355689,"threshold_uncertainty_score":0.07072371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251933766733551,"score_gpt":0.2148743027458807,"score_spread":0.2023549650785452,"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."}}