{"id":"W3118115925","doi":"10.5194/essd-13-2561-2021","title":"CASCADE – The Circum-Arctic Sediment CArbon DatabasE","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"H2020 European Research Council; Norges Forskningsråd; Russian Academy of Sciences; National Research Council Canada; Aard- en Levenswetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Environment Research Council; Government Council on Grants, Russian Federation; Russian Science Foundation; Vetenskapsrådet; Sight Research UK; Statoil; Knut och Alice Wallenbergs Stiftelse","keywords":"Terrigenous sediment; Arctic; Biogeochemical cycle; Oceanography; Sediment; Environmental science; Total organic carbon; Geology; Sedimentary rock; Coring; Database; Earth science; Physical geography; Environmental chemistry; Geochemistry; Chemistry; Paleontology; Drilling; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001904017,0.001943112,0.001223653,0.0126347,0.0007402262,0.002655382,0.0018486,0.0007343654,0.01077263],"category_scores_gemma":[0.004812431,0.0005852983,0.0006861053,0.02065147,0.0002560799,0.001325073,0.001843794,0.0006928005,0.01417506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418824,"about_ca_system_score_gemma":0.005988905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07359983,"about_ca_topic_score_gemma":0.06454549,"domain_scores_codex":[0.9985196,0.0001500796,0.0003363017,0.0003637884,0.0005054142,0.0001249095],"domain_scores_gemma":[0.99447,0.0004642613,0.0008649824,0.0008720321,0.002738812,0.000589887],"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":[0.0008411637,0.0001034989,0.04941432,0.004400975,0.0007137557,0.0004580193,0.0002919692,0.004923329,0.003298908,0.006691837,0.8549005,0.07396167],"study_design_scores_gemma":[0.0001772848,0.00004340426,0.06395131,0.0005723723,0.0001680998,0.0001739516,0.0001275825,0.003175894,0.001867322,0.001616213,0.9280351,0.00009135147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002354517,0.0003369037,0.0004743158,0.00003654763,0.00002021846,0.00002776022,0.9944724,0.0007311948,0.001546066],"genre_scores_gemma":[0.003346923,0.0002000711,0.001201726,0.00001605931,0.000008672914,0.00005701481,0.9947498,0.0001024728,0.0003172274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07359983,"threshold_uncertainty_score":0.1463428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07818264720549385,"score_gpt":0.2720171693055676,"score_spread":0.1938345221000738,"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."}}