{"id":"W2958531939","doi":"10.1175/bams-d-18-0316.1","title":"Results of the Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities (TOMACS)","year":2019,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Japan Science and Technology Agency; Environment and Climate Change Canada; University of Tokyo; Toyo University; Universität Hohenheim","keywords":"Weather radar; Meteorology; Radar; Metropolitan area; Environmental science; Polarimetry; Precipitation; Remote sensing; Satellite; Geography; Computer science; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007762135,0.0003962179,0.0003386724,0.0007659044,0.0005159215,0.0005210767,0.000336306,0.0003966421,0.0009798603],"category_scores_gemma":[0.001072326,0.0001546061,0.0004419761,0.0009011629,0.0003392628,0.0003792603,0.001196491,0.0002728376,0.0001144382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120088,"about_ca_system_score_gemma":0.001241363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08913932,"about_ca_topic_score_gemma":0.09610661,"domain_scores_codex":[0.999732,0.00006925547,0.00002088865,0.00006269074,0.00004867534,0.00006659217],"domain_scores_gemma":[0.9990374,0.00009466887,0.0002048551,0.0001141883,0.000215849,0.0003330972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001268346,0.0003997919,0.968543,0.0001316899,0.0002326952,0.001164648,0.003210173,0.006165267,0.003462231,0.0003656665,0.003239457,0.01181714],"study_design_scores_gemma":[0.00008165024,0.0002476905,0.9878173,0.00001119838,0.00008120015,0.0001032161,0.004147627,0.005140712,0.0006118114,0.0000588851,0.001679373,0.00001938193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990919,0.00001979299,0.00004315006,0.00003911682,0.000004287758,0.00002739624,0.0004493604,0.000007974296,0.0003170462],"genre_scores_gemma":[0.9983474,0.00001685598,0.000249816,0.00001774123,0.00001028271,0.00003345314,0.001061111,0.000003888625,0.0002595833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08913932,"threshold_uncertainty_score":0.1772409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112572476630391,"score_gpt":0.2381923678132811,"score_spread":0.2070666430469772,"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."}}