{"id":"W1978604204","doi":"10.1002/2014jc010272","title":"Turbulent nitrate fluxes in the Lower St. Lawrence Estuary, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Nitrate; Sill; Environmental science; Estuary; Flux (metallurgy); Atmospheric sciences; Chemistry; Geology; Oceanography; Physics; Meteorology","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":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.009120593,0.001570866,0.002308063,0.001492364,0.001229823,0.002021258,0.005321105,0.0007828854,0.0001135062],"category_scores_gemma":[0.02633032,0.001143202,0.001166457,0.003846833,0.001165343,0.002445224,0.0007578208,0.006382737,0.002301174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615795,"about_ca_system_score_gemma":0.002822653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112934,"about_ca_topic_score_gemma":0.008382969,"domain_scores_codex":[0.9782163,0.003399161,0.002832328,0.001857614,0.008748945,0.004945656],"domain_scores_gemma":[0.962113,0.0292151,0.001451206,0.001797886,0.002095841,0.00332696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005627472,0.002011691,0.06913605,0.0005364677,0.0006599705,0.005291819,0.01534415,0.002429616,0.001014353,0.0009776405,0.8967174,0.005824565],"study_design_scores_gemma":[0.004570232,0.006488216,0.1115631,0.0009309949,0.0002838924,0.00142023,0.06622618,0.0164647,0.00236843,0.01718633,0.7722088,0.0002889489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098189,0.003370294,0.0001092868,0.0009416331,0.00149413,0.001403532,0.000364103,0.0001215522,0.0823765],"genre_scores_gemma":[0.9560872,0.002148727,0.0002234896,0.001254983,0.003773628,0.00004021554,0.0002085075,0.000126872,0.03613634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245086,"threshold_uncertainty_score":0.9997039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290900404600812,"score_gpt":0.2800419138832689,"score_spread":0.2371329098372608,"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."}}