{"id":"W2076963477","doi":"10.1002/2013jc009197","title":"Determination of particulate organic carbon sources to the surface mixed layer of the Canada Basin, Arctic Ocean","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria; Fisheries and Oceans Canada; University of British Columbia","funders":"Office of Polar Programs; Fisheries and Oceans Canada; Woods Hole Oceanographic Institution; Natural Sciences and Engineering Research Council of Canada; ArcticNet; National Science Foundation","keywords":"Total organic carbon; Environmental science; Surface water; Canada Basin; Structural basin; Organic matter; Dissolved organic carbon; Particulates; Mixed layer; Oceanography; Arctic; Hydrology (agriculture); Environmental chemistry; Geology; Chemistry; Geomorphology","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":[0.0001187045,0.0005948155,0.0002263834,0.001336187,0.001432254,0.0009595645,0.0002758598,0.0001435243,0.0004954287],"category_scores_gemma":[0.0002132191,0.0002456909,0.0001950455,0.001203252,0.0002979031,0.0001559986,0.0002753187,0.0001704167,0.0001050008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005319587,"about_ca_system_score_gemma":0.005792577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8913825,"about_ca_topic_score_gemma":0.9512063,"domain_scores_codex":[0.9998927,0.000002790177,0.00000358379,0.00002542748,0.00004626404,0.00002919535],"domain_scores_gemma":[0.9997608,0.000008635484,0.00002634555,0.000003959069,0.0001504892,0.00004974599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004304428,0.00002553349,0.821441,0.0001311653,0.0001728887,0.0001959822,0.0006328542,0.000759275,0.1615192,0.0001610596,0.0004638004,0.01406684],"study_design_scores_gemma":[0.00000458278,0.00001666119,0.9928518,0.00001035794,0.00002425458,0.0000266372,0.0002678685,0.0004702217,0.005166925,0.00001683636,0.001139348,0.000004532945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958994,0.0005763196,0.0001930288,0.00001825554,0.000007231545,0.00001261525,0.001732407,0.00001647796,0.001544278],"genre_scores_gemma":[0.9962258,0.0004256191,0.0006241493,0.00002678601,0.000003284184,0.00001176384,0.001606771,0.000009436802,0.001066331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086175,"threshold_uncertainty_score":0.2185144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573328685655896,"score_gpt":0.2449490030472379,"score_spread":0.2292157161906789,"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."}}