{"id":"W3137433737","doi":"10.1029/2020pa003942","title":"Synchronous Marine and Terrestrial Carbon Cycle Perturbation in the High Arctic During the PETM","year":2021,"lang":"en","type":"article","venue":"Paleoceanography and Paleoclimatology","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Carbon cycle; Isotopes of carbon; Algae; Arctic; Terrestrial plant; Carbon fibers; Canada Basin; Total organic carbon; Environmental science; Oceanography; Geology; Environmental chemistry; Ecology; Chemistry; Ecosystem; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354564,0.000190234,0.0002292257,0.0004996977,0.0005587155,0.0004113178,0.0001199775,0.0002321023,0.0005999948],"category_scores_gemma":[0.0002829727,0.0001598438,0.0001420494,0.0003877,0.0003261465,0.0002296472,0.0004741656,0.0002006321,0.0001557731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003287,"about_ca_system_score_gemma":0.0002224312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00886558,"about_ca_topic_score_gemma":0.01613788,"domain_scores_codex":[0.9999185,0.000009898491,0.000004204031,0.00002757359,0.00002029277,0.00001966471],"domain_scores_gemma":[0.9998904,0.00001093502,0.00002747743,0.00000922725,0.00004426766,0.00001759996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009470819,0.00005359129,0.6511357,0.0001016735,0.0001268923,0.0007790847,0.0007926164,0.001697217,0.3235043,0.0004781201,0.0002872605,0.02009649],"study_design_scores_gemma":[0.000001990694,0.00002742979,0.9942476,0.000004907845,0.000007722922,0.00008964357,0.0001787218,0.0004118316,0.004376324,0.00004604195,0.0006039782,0.000003715785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987325,0.0001558199,0.0001375295,0.0000205968,0.000006195875,0.000001853534,0.0001439267,0.00000645408,0.0007950186],"genre_scores_gemma":[0.999581,0.00004884482,0.00008253454,0.000008749838,0.000005526274,0.000001713107,0.0001119249,0.000002581748,0.0001571125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00886558,"threshold_uncertainty_score":0.01762795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004661358499725153,"score_gpt":0.1872614121024762,"score_spread":0.1826000536027511,"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."}}