{"id":"W2884169222","doi":"10.1029/2018jc014110","title":"On the Properties of the Arctic Halocline and Deep Water Masses of the Canada Basin from Nitrate Isotope Ratios","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval","funders":"ArcticNet; National Science Foundation","keywords":"Halocline; Nitrate; Oceanography; Water column; Canada Basin; Water mass; Denitrification; Biogeochemical cycle; Benthic zone; Geology; Environmental science; Arctic; Environmental chemistry; Nitrogen; Chemistry; Salinity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007614187,0.00008547147,0.0001773772,0.00002466611,0.0003395253,0.00003537812,0.0005212733,0.00002752468,0.0002649784],"category_scores_gemma":[0.0006336984,0.00002782261,0.00007736743,0.0001458385,0.0009231994,0.00009824431,0.00006058288,0.0005035449,0.000005395199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001330906,"about_ca_system_score_gemma":0.0004544603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1607636,"about_ca_topic_score_gemma":0.1702231,"domain_scores_codex":[0.9979923,0.0004323619,0.0002869009,0.00009400694,0.0009407833,0.0002536244],"domain_scores_gemma":[0.9982969,0.0008436782,0.0001326905,0.0002223178,0.0004293611,0.00007508399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002494206,0.0004696547,0.9393088,0.0002814217,0.0006682198,0.00004488108,0.01004663,0.000779351,0.02479287,0.003494041,0.005671223,0.01194876],"study_design_scores_gemma":[0.0005889329,0.001201083,0.9212319,0.00053017,0.00008008958,0.00002221309,0.003646988,0.0176091,0.03364873,0.01961306,0.001657626,0.0001701182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891256,0.00004146166,0.0000139467,0.01024759,0.0001576043,0.000133882,0.0000265174,7.277548e-7,0.0002526916],"genre_scores_gemma":[0.9989971,0.00003946356,0.0000317883,0.0004053429,0.0002149975,2.180382e-7,9.555575e-7,0.000003123137,0.0003070462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01807685,"threshold_uncertainty_score":0.8449181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474620864597136,"score_gpt":0.2338058109096251,"score_spread":0.2090596022636538,"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."}}