{"id":"W3167052591","doi":"10.1016/j.scib.2021.06.009","title":"Fingerprint of COVID-19 in Arctic sea ice changes","year":2021,"lang":"en","type":"article","venue":"Science Bulletin","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sea ice; Fingerprint (computing); Arctic; Arctic ice pack; The arctic; Oceanography; Climatology; Geology; Environmental science; Virology; Computer science; Medicine; Artificial intelligence; Infectious disease (medical specialty); Internal medicine","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":[0.0006284174,0.0001639994,0.0001988543,0.002346327,0.0005136697,0.001100695,0.0002274171,0.0003079934,0.002937217],"category_scores_gemma":[0.002257505,0.0001078692,0.0001845981,0.002059862,0.0002377495,0.0005087924,0.00090651,0.0003401258,0.0008373847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004102161,"about_ca_system_score_gemma":0.0004051124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009683816,"about_ca_topic_score_gemma":0.01855926,"domain_scores_codex":[0.9996816,0.00003300771,0.0000419791,0.00009423103,0.00006517446,0.00008409511],"domain_scores_gemma":[0.9975228,0.0003622266,0.0007555465,0.000186212,0.0007250407,0.0004481608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000200318,0.00002761991,0.982366,0.0000295398,0.00004127559,0.00007510054,0.0001676617,0.0003430362,0.002515095,0.0003325959,0.001250557,0.01265112],"study_design_scores_gemma":[0.00000146422,0.00001439085,0.9970993,0.000008615601,0.000006667125,0.00003847629,0.0001625637,0.0003733811,0.0003395241,0.00004646711,0.001906355,0.000002805823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884609,0.0002843238,0.0003000442,0.0001266672,0.00005085268,0.00001093167,0.004066428,0.00004254415,0.006657266],"genre_scores_gemma":[0.9942948,0.0001083294,0.0002816422,0.00003626033,0.00003386778,0.000007708373,0.003823861,0.00002047169,0.001392905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009683816,"threshold_uncertainty_score":0.01925492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654494854649647,"score_gpt":0.2397805401423172,"score_spread":0.2232355915958207,"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."}}