{"id":"W2779875812","doi":"10.2151/jmsj.2018-011","title":"Role and Impact of the Urban Environment in a Numerical Forecast of an Intense Summertime Precipitation Event over Tokyo","year":2017,"lang":"en","type":"article","venue":"Journal of the Meteorological Society of Japan Ser II","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Environmental science; Context (archaeology); Metropolitan area; Flooding (psychology); Climatology; Meteorology; Population; Atmospheric sciences; Geography; Geology; Demography","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":[0.0003421447,0.0005041872,0.0002585119,0.0003052395,0.0005129864,0.0009369499,0.000349672,0.0008408477,0.0006381381],"category_scores_gemma":[0.001112484,0.0003460046,0.0003646608,0.0003437579,0.0005739809,0.0005244584,0.0005141679,0.0005183909,0.00007619448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009274362,"about_ca_system_score_gemma":0.0008384287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0723195,"about_ca_topic_score_gemma":0.05347231,"domain_scores_codex":[0.9998906,0.00003555562,0.000009218078,0.00002460136,0.00001448712,0.00002549187],"domain_scores_gemma":[0.9996738,0.0001023104,0.0000538826,0.00002090529,0.00006334479,0.00008574097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002812077,0.0001961453,0.133401,0.00002748179,0.00009087591,0.0004454617,0.0001585714,0.8582333,0.00302685,0.0006139576,0.0006103908,0.002914744],"study_design_scores_gemma":[0.00005175682,0.00008238739,0.04970686,0.000006322877,0.00003744547,0.00002065367,0.0002253922,0.9488186,0.0005901455,0.000137373,0.000302098,0.00002083141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987413,0.0000299875,0.0002744338,0.0001152707,0.00001307921,0.000005327063,0.00009918065,0.00002029693,0.0007011167],"genre_scores_gemma":[0.9996077,0.0000196081,0.000184743,0.000007114118,0.000003992828,0.000002015117,0.00008156412,0.000003533397,0.00008955468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0723195,"threshold_uncertainty_score":0.1437971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383702551544152,"score_gpt":0.2510310262533013,"score_spread":0.2371940007378598,"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."}}