{"id":"W2981048606","doi":"","title":"Extratropical Large-Scale Atmospheric Circulation Variability III Posters","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting 2020","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Extratropical cyclone; Atmospheric circulation; Climatology; Scale (ratio); Environmental science; Circulation (fluid dynamics); Meteorology; Atmospheric sciences; Geography; Geology; Cartography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003267873,0.0001349938,0.0002027818,0.000004112476,0.0002096291,0.00005490661,0.0001819275,0.00008886299,0.0009584561],"category_scores_gemma":[0.0003127067,0.000112083,0.00008677353,0.0002947528,0.00004471338,0.0001309262,0.00002291714,0.0001814697,0.0003937214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005431399,"about_ca_system_score_gemma":0.00002396948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004825922,"about_ca_topic_score_gemma":0.0006447296,"domain_scores_codex":[0.9985102,0.000227545,0.0003108475,0.0003998142,0.0002374185,0.0003141947],"domain_scores_gemma":[0.9991291,0.0003320494,0.00007692046,0.0001551173,0.00003449962,0.0002723184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004239999,0.00001626863,0.961703,0.00001242879,0.00001065326,0.000006480583,0.0005462254,0.03549713,0.0001106711,0.00009768084,0.0001828832,0.001774164],"study_design_scores_gemma":[0.0002978363,0.0001045005,0.6872743,0.000003825517,0.00001736806,0.00000116987,0.0001257499,0.308794,0.000002042472,0.0006936397,0.002542814,0.0001428253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767994,0.0001011142,0.004379498,0.001955972,0.0001669998,0.0001905551,0.00002312364,0.0001278233,0.01625555],"genre_scores_gemma":[0.9920532,0.000005720149,0.005450148,0.002076806,0.0002640902,0.000001161299,0.0001199214,0.000003877118,0.00002507505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744288,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812554370380185,"score_gpt":0.2149935270695891,"score_spread":0.1968679833657873,"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."}}