{"id":"W2803583247","doi":"10.1016/j.quascirev.2017.12.020","title":"Quaternary dinoflagellate cysts in the Arctic Ocean: Potential and limitations for stratigraphy and paleoenvironmental reconstructions","year":2018,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Geology; Quaternary; Paleontology; Paleoceanography; Interglacial; Oceanography; Arctic; Glacial period; Chronostratigraphy; Pleistocene; Structural basin","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":[],"consensus_categories":[],"category_scores_codex":[0.00137675,0.0001701255,0.0001944109,0.00008546019,0.0005247279,0.0001182336,0.0003398065,0.00004120826,0.0001124947],"category_scores_gemma":[0.00004949152,0.000108249,0.00005575713,0.0004245157,0.001926908,0.0005092322,0.0001087568,0.000127431,0.00007347293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003942146,"about_ca_system_score_gemma":0.000009338849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280919,"about_ca_topic_score_gemma":0.00009395715,"domain_scores_codex":[0.9983788,0.0001495903,0.0003762212,0.0004982438,0.0002478316,0.0003493787],"domain_scores_gemma":[0.9993775,0.00007781407,0.0001428598,0.0002740295,0.000006227453,0.0001215579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006780078,0.0002860461,0.7313679,0.0001624914,0.00003043144,0.00003382254,0.007748127,0.0002286731,0.05060917,0.0009363882,0.000731096,0.207798],"study_design_scores_gemma":[0.001799984,0.001992455,0.8809891,0.0004165333,0.0001816749,0.001197554,0.002189367,0.04228783,0.0008698913,0.02582364,0.04098875,0.001263163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948208,0.001583814,0.0002117703,0.0005676079,0.0002300155,0.0008631785,0.00000579656,0.000009395237,0.001707604],"genre_scores_gemma":[0.9884511,0.008409777,0.0026956,0.0002143297,0.00006092637,0.00003448814,0.00000336453,0.000007175706,0.0001232648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2065349,"threshold_uncertainty_score":0.7099773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947830504691725,"score_gpt":0.2596432122814722,"score_spread":0.230164907234555,"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."}}