{"id":"W3130382444","doi":"10.5194/egusphere-egu2020-19358","title":"A Eulerian Explosive Cyclogenesis climatology from the ERA5 reanalysis, 1979-2018","year":2020,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ampere; Endocrinology; Biology; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001879271,0.0003502631,0.000226321,0.001253898,0.0001704126,0.000479806,0.0003583142,0.0002538113,0.004194714],"category_scores_gemma":[0.0006092686,0.0001441295,0.0002765848,0.001868669,0.000116458,0.000385383,0.0002742645,0.0004506269,0.00203368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091981,"about_ca_system_score_gemma":0.0009160828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1000036,"about_ca_topic_score_gemma":0.1291487,"domain_scores_codex":[0.9999036,0.000007284465,0.00001110814,0.00002633956,0.00003623994,0.00001550532],"domain_scores_gemma":[0.9997351,0.00001738184,0.0000563869,0.00003070882,0.0001301585,0.00003028207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004863124,0.0002730615,0.2376945,0.001196286,0.000308587,0.0005617419,0.0004954181,0.04443358,0.004893824,0.004621573,0.6238682,0.08116701],"study_design_scores_gemma":[0.0001786598,0.00005102046,0.6306921,0.0001489865,0.00007296658,0.0002099788,0.0003070356,0.02328811,0.002381212,0.0007230433,0.3418902,0.00005681131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1508522,0.0002949116,0.001366933,0.0002607343,0.000187315,0.0000834059,0.838176,0.0007739047,0.00800471],"genre_scores_gemma":[0.1678316,0.0004429365,0.005557855,0.00007139189,0.0001178484,0.0001468967,0.8216571,0.0001787292,0.003995684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1000036,"threshold_uncertainty_score":0.198843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757181184798999,"score_gpt":0.2294625736623837,"score_spread":0.1918907618143937,"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."}}