{"id":"W2472219129","doi":"10.1002/2016jc011779","title":"Vertical fluxes of nitrate in the seasonal nitracline of the Atlantic sector of the Arctic Ocean","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Klima- og miljødepartementet; Norges Forskningsråd","keywords":"Nitrate; Stratification (seeds); Arctic; Environmental science; Oceanography; Sea ice; Arctic ice pack; Flux (metallurgy); Atmospheric sciences; The arctic; Seasonality; Climatology; Geology; Chemistry; Ecology; Biology","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":[0.0001964479,0.0001930872,0.0001850926,0.0005319968,0.0003239908,0.0005194935,0.0001012236,0.0001537049,0.0003001244],"category_scores_gemma":[0.0002953486,0.0001746144,0.0001530731,0.0003952723,0.0001286877,0.000201419,0.0002953956,0.0001097041,0.00009647317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004814955,"about_ca_system_score_gemma":0.0002828621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03720285,"about_ca_topic_score_gemma":0.0671104,"domain_scores_codex":[0.9999415,0.000008075463,0.000004632177,0.00001989409,0.00001318158,0.00001265983],"domain_scores_gemma":[0.9998569,0.00002607929,0.00003170097,0.000006550566,0.00005234308,0.00002641621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004202448,0.00004584518,0.9336483,0.00003901635,0.00008086874,0.0001220539,0.000601752,0.0007922741,0.05436238,0.00008550365,0.0001596051,0.009642128],"study_design_scores_gemma":[0.000002715129,0.00002677353,0.9978816,0.000003829829,0.000009121874,0.00001853743,0.0001178381,0.0007242775,0.0009567363,0.00001365097,0.0002422294,0.000002677918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993554,0.00004778853,0.00005266011,0.000007707889,0.000003210217,0.000001047438,0.0002215061,0.000004281132,0.0003063643],"genre_scores_gemma":[0.9990599,0.00006038795,0.0001711019,0.000005433935,0.000003715445,0.000002907375,0.0004823851,0.000003506951,0.0002106888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03720285,"threshold_uncertainty_score":0.07397264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274593221634961,"score_gpt":0.2744228980202098,"score_spread":0.2469635758567137,"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."}}