{"id":"W3192849518","doi":"10.3389/fmars.2021.718625","title":"ΔO2/N2′ as a New Tracer of Marine Net Community Production: Application and Evaluation in the Subarctic Northeast Pacific and Canadian Arctic Ocean","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"ArcticNet; Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network; Polar Knowledge Canada","keywords":"Subarctic climate; Arctic; TRACER; Oceanography; Mixed layer; Seawater; Environmental science; Hydrography; Geology; Physics","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":[0.002421119,0.00009216337,0.0001411437,0.0002206003,0.0002260613,0.00008431846,0.0002401761,0.00002958023,0.000136673],"category_scores_gemma":[0.0003624122,0.0000755675,0.00001229226,0.001201054,0.0002563425,0.0003002449,0.00006811431,0.0002246388,0.000002066618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003411943,"about_ca_system_score_gemma":0.0007785211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4894976,"about_ca_topic_score_gemma":0.7816227,"domain_scores_codex":[0.9986624,0.0002594493,0.0002142158,0.0002724279,0.0003577863,0.0002337379],"domain_scores_gemma":[0.9992931,0.00004522402,0.00006702815,0.0003229123,0.0001115887,0.0001601267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009879978,0.00001201944,0.8001352,0.00003035361,0.000001598617,0.000002138193,0.0006710402,0.0001285781,0.000004640165,0.00003483115,0.0001013677,0.1988683],"study_design_scores_gemma":[0.0001870684,0.00005141425,0.9746384,0.00001460935,0.000009187893,0.00007026868,0.003755832,0.0139323,0.00001107375,0.006486909,0.0007578809,0.00008506583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877356,0.0001168929,0.00002075888,0.001854604,0.0002261015,0.000392278,0.000004626369,0.00000421543,0.009644966],"genre_scores_gemma":[0.9985368,0.00007053432,0.000999322,0.00008545088,0.0000350548,0.000003349286,0.00005510339,0.000001819816,0.0002125518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2921251,"threshold_uncertainty_score":0.5139019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121241348301072,"score_gpt":0.2091653846471832,"score_spread":0.1979529711641725,"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."}}