{"id":"W2189571989","doi":"10.5817/cpr2014-2-13","title":"Sea ice metadata for Billefjorden and Grnfjorden, Svalbard","year":2014,"lang":"en","type":"article","venue":"Czech Polar Reports","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Foundation for Basic Research; Alberta Agricultural Research Institute","keywords":"Hydrometeorology; Sea ice; Arctic; Metadata; Oceanography; Arctic ice pack; Fjord; Cryosphere; Climate change; Climatology; The arctic; Human settlement; Future sea level; Antarctic sea ice; Environmental science; Geology; Geography; Precipitation; Meteorology; Archaeology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001129146,0.0006448178,0.0004034241,0.008981166,0.0006481085,0.002348894,0.0007006945,0.0004116764,0.01248303],"category_scores_gemma":[0.002644787,0.000386769,0.0002608245,0.00668589,0.0003764317,0.001682138,0.001422897,0.0005381476,0.01094061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008655879,"about_ca_system_score_gemma":0.003047339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04358425,"about_ca_topic_score_gemma":0.03713932,"domain_scores_codex":[0.9991267,0.00006735421,0.0003193953,0.0001865171,0.0002249667,0.00007500251],"domain_scores_gemma":[0.9983753,0.0002037318,0.0003856084,0.0003488146,0.0005233476,0.0001632451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006300966,0.000111998,0.03301495,0.002611912,0.0001221161,0.0008555281,0.002845504,0.002391652,0.009809868,0.01806886,0.5322628,0.3972746],"study_design_scores_gemma":[0.00001977591,0.00001403894,0.03323572,0.0003970973,0.00002319072,0.0002404001,0.0004625988,0.0002042712,0.001479189,0.001110524,0.9627846,0.00002848152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04412431,0.006078247,0.009215983,0.0007185486,0.0008248722,0.0004387232,0.8766878,0.003298437,0.05861321],"genre_scores_gemma":[0.04020444,0.003317491,0.01285544,0.0001402981,0.0001033728,0.0003361406,0.9216335,0.001198085,0.02021111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04358425,"threshold_uncertainty_score":0.08666116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167219922474436,"score_gpt":0.219008002257734,"score_spread":0.2073358030329897,"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."}}