{"id":"W2954643487","doi":"10.1029/2018jc014896","title":"Interannual Variability in the Absorption and Fluorescence Characteristics of Dissolved Organic Matter in the Canada Basin Polar Mixed Waters","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Trent University; Fisheries and Oceans Canada; University of Waterloo","funders":"Canada Excellence Research Chairs, Government of Canada; Polar Knowledge Canada","keywords":"Seawater; Dissolved organic carbon; Oceanography; Sea ice; Meltwater; Polar; Environmental science; Environmental chemistry; Chemistry; Geology; Geomorphology; Glacier","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":[0.003381311,0.00007456911,0.000192507,0.00006241879,0.00005407804,0.00004182938,0.0004245648,0.00003186972,0.0001874208],"category_scores_gemma":[0.0003443133,0.00003768537,0.00003623475,0.000228384,0.0001647066,0.000167108,0.00002245858,0.0007091361,0.00001160708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002535458,"about_ca_system_score_gemma":0.000243068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09149852,"about_ca_topic_score_gemma":0.03847143,"domain_scores_codex":[0.9977391,0.0008401438,0.0003273965,0.0001074538,0.0007132775,0.000272653],"domain_scores_gemma":[0.997878,0.001701794,0.00009603328,0.0001514869,0.0001161847,0.00005645713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001606873,0.00006461557,0.9944979,0.00004085512,0.000007649331,0.00003008849,0.002389743,0.0000056597,0.0002705028,0.00005318883,0.0001865831,0.002292529],"study_design_scores_gemma":[0.0001893647,0.0001738234,0.9938004,0.00005241638,0.0000049166,0.00001981861,0.002741542,0.002297227,0.00001133094,0.0005608358,0.0001043519,0.00004394409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962369,0.000004293048,0.000026731,0.003378483,0.0001003756,0.0001303242,0.00003666577,4.455053e-7,0.0000858363],"genre_scores_gemma":[0.9996274,0.00003109646,0.00003581176,0.0002039257,0.00006242403,1.528309e-7,0.00000926232,0.000001976812,0.00002794082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05302709,"threshold_uncertainty_score":0.9790739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369838017232535,"score_gpt":0.2332874284814598,"score_spread":0.2239175904642273,"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."}}