{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001964859,0.0001453453,0.0001634873,0.00006637412,0.0006375816,0.0003854967,0.001738871,0.00003391657,0.001827746],"category_scores_gemma":[0.0001499351,0.00009482121,0.00002675914,0.001002499,0.0003456342,0.0007201115,0.0003299279,0.0001624655,0.0005932142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090392,"about_ca_system_score_gemma":0.0003754878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01202966,"about_ca_topic_score_gemma":0.02588697,"domain_scores_codex":[0.9974461,0.000132613,0.0002503231,0.0007335442,0.0008882108,0.0005492276],"domain_scores_gemma":[0.997232,0.0001690283,0.00008580608,0.002190505,0.0000968102,0.0002258796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004138961,0.00009631085,0.9362366,0.0007819693,0.00007199275,0.001764267,0.003705203,0.0004829559,0.02494729,0.0007385919,0.01159727,0.01953618],"study_design_scores_gemma":[0.000762197,0.0001134037,0.5954059,0.0006064886,0.0001220802,0.002451193,0.01568889,0.2559415,0.00489737,0.00002895159,0.1229949,0.0009871386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331158,0.005131251,0.00004185796,0.002873648,0.004884074,0.0006033824,0.0321991,0.0001360179,0.02101481],"genre_scores_gemma":[0.991896,0.00008789894,0.0000914645,0.0004431313,0.0003663941,0.00000139959,0.006900787,0.000003514525,0.0002094365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3408307,"threshold_uncertainty_score":0.9990847,"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."}}