{"id":"W4307704062","doi":"10.3390/jmse10111589","title":"Arctic Nearshore Sediment Dynamics—An Example from Herschel Island—Qikiqtaruk, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada; Universität Hamburg; Daimler und Benz Stiftung; Helmholtz-Gemeinschaft; Aurora Research Institute","keywords":"Sediment; Arctic; Total organic carbon; Organic matter; Oceanography; Geology; Silt; Erosion; Submarine pipeline; Isotopes of carbon; Environmental science; Ecology; Geomorphology; Environmental chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002482658,0.0004266318,0.0003717386,0.002555499,0.003189939,0.001118688,0.0007095122,0.0003553719,0.001317938],"category_scores_gemma":[0.0003223941,0.0002379382,0.0003938216,0.007232856,0.0006591483,0.000260698,0.0006898416,0.0002917723,0.0002587958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01446634,"about_ca_system_score_gemma":0.01563243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944721,"about_ca_topic_score_gemma":0.9980671,"domain_scores_codex":[0.9997184,0.00001421647,0.00001767234,0.00006434457,0.00008646824,0.00009886602],"domain_scores_gemma":[0.9995056,0.00001555905,0.0000432796,0.00001570257,0.0003438565,0.00007598907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001391054,0.00004040572,0.9622292,0.0002021161,0.0001637106,0.001787467,0.002772299,0.001061457,0.003436918,0.0004629859,0.003493225,0.02421097],"study_design_scores_gemma":[0.000003273972,0.000007779789,0.9955635,0.00002251547,0.00001961985,0.00010607,0.001305411,0.0003035166,0.0001090402,0.00001915052,0.002530052,0.00001016749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821307,0.002261954,0.0001636907,0.0002796635,0.0000149967,0.00003921169,0.00708067,0.00002712449,0.008001957],"genre_scores_gemma":[0.9917286,0.001373016,0.000636684,0.00006646135,0.000006301979,0.00001311295,0.003326542,0.00001371923,0.002835613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01446634,"threshold_uncertainty_score":0.1049611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771832362932337,"score_gpt":0.1901475775568837,"score_spread":0.1724292539275603,"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."}}