{"id":"W2792436389","doi":"10.1002/2017jd027439","title":"Trends of Cyclone Characteristics in the Arctic and Their Patterns From Different Reanalysis Data","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation; Deutsche Forschungsgemeinschaft","keywords":"Climatology; Arctic; Cyclone (programming language); The arctic; Archipelago; Common spatial pattern; Tropical cyclone; Environmental science; Oceanography; Geology; Geography; Physical geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111118,0.0001196599,0.000372061,0.00004038225,0.0001228953,0.0000718173,0.0008926858,0.00004483043,0.0007216821],"category_scores_gemma":[0.0004350965,0.00005957234,0.00007574764,0.000311878,0.0004661905,0.0002171352,0.0001100032,0.0005440713,0.000008547307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008196439,"about_ca_system_score_gemma":0.00005617444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026309,"about_ca_topic_score_gemma":0.003927423,"domain_scores_codex":[0.9979062,0.0004281966,0.0004312572,0.0001913127,0.0007332574,0.0003097725],"domain_scores_gemma":[0.9971285,0.001871392,0.0002194768,0.0004627628,0.0001925617,0.0001252675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000207605,0.0001260799,0.8486142,0.00001844936,0.00009995216,0.00003021412,0.001003166,0.000002561544,0.00006555556,0.00003386854,0.0001200643,0.1496783],"study_design_scores_gemma":[0.0002251554,0.0005599636,0.9795564,0.00009108466,0.00003340039,0.00000825044,0.001782894,0.01439056,0.0000169049,0.00304638,0.0002251281,0.00006386828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983627,0.0001073539,0.0002325546,0.0008138812,0.00006380684,0.00003927798,0.0002135752,0.000001514588,0.0001653177],"genre_scores_gemma":[0.9985755,0.0004393771,0.0002613408,0.00005556779,0.0005530837,1.910156e-7,0.00006994081,0.000003556021,0.00004143187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1496144,"threshold_uncertainty_score":0.9963276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04272023891179443,"score_gpt":0.2998938256185497,"score_spread":0.2571735867067553,"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."}}