{"id":"W3043952142","doi":"10.1029/2020gb006581","title":"Arctic Continental Margin Sediments as Possible Fe and Mn Sources to Seawater as Sea Ice Retreats: Insights From the Eurasian Margin","year":2020,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Commission","keywords":"Geology; Biogeochemical cycle; Oceanography; Arctic; Continental margin; Sea ice; Sediment; Continental shelf; Plateau (mathematics); Arctic ice pack; Carbon cycle; Seafloor spreading; Geochemistry; Geomorphology; Ecosystem; Paleontology; Environmental chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002897255,0.0003088217,0.0003312423,0.001250176,0.0006073759,0.0009195931,0.0001618843,0.0002781177,0.0005700782],"category_scores_gemma":[0.0001665346,0.0001421898,0.0003099718,0.001181194,0.0002278479,0.0004175656,0.0004859074,0.0001942569,0.0001522585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005024219,"about_ca_system_score_gemma":0.0004163127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04024587,"about_ca_topic_score_gemma":0.06152984,"domain_scores_codex":[0.999934,0.00000850443,0.000007190541,0.00002122199,0.00001013669,0.00001908458],"domain_scores_gemma":[0.9998909,0.000009014667,0.00002975514,0.000004727428,0.00004942931,0.00001604762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003990483,0.00003132352,0.9112977,0.0001320302,0.0001081846,0.0007222276,0.001629657,0.0006235989,0.06641085,0.0001322076,0.0001128077,0.0184004],"study_design_scores_gemma":[0.000001616559,0.0000265932,0.996723,0.00001883095,0.00002360942,0.00008436293,0.001028174,0.0002624658,0.00113715,0.00002963423,0.0006612364,0.00000335923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981493,0.0007258255,0.00008005757,0.00002652212,0.000003706667,0.000001612875,0.0001636906,0.000002734768,0.0008467688],"genre_scores_gemma":[0.9984158,0.0005633691,0.0002798869,0.00002317485,0.000004827306,0.000001999883,0.0002374879,0.000004956078,0.0004683708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04024587,"threshold_uncertainty_score":0.08002323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008385570886958982,"score_gpt":0.2173326578379198,"score_spread":0.2089470869509608,"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."}}