{"id":"W2165188097","doi":"10.5194/bg-12-3385-2015","title":"Modelling the impact of riverine DON removal by marine bacterioplankton on primary production in the Arctic Ocean","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bacterioplankton; Biogeochemical cycle; Arctic; Oceanography; Environmental science; Phytoplankton; Sea ice; Plankton; Microbial loop; Biogeochemistry; Ecology; Nutrient; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150595,0.0001196025,0.0001263506,0.00006488944,0.0001522933,0.00004821845,0.0004287464,0.00003218568,0.00006639961],"category_scores_gemma":[0.00006727054,0.0000542312,0.00005389647,0.0004600859,0.0003487323,0.0002264524,0.00002114996,0.0001376504,0.0000100668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951146,"about_ca_system_score_gemma":0.0001121769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05205306,"about_ca_topic_score_gemma":0.0004026267,"domain_scores_codex":[0.9987831,0.0001170906,0.000193366,0.0002310095,0.0004276298,0.0002478552],"domain_scores_gemma":[0.9994612,0.0001155724,0.0001132146,0.0002146586,0.00003839083,0.0000569619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001601743,0.00007379072,0.9274818,0.00001619653,0.000008321616,0.000008175216,0.001733715,0.06071603,0.00006386563,0.00003551309,0.0005176676,0.00918479],"study_design_scores_gemma":[0.0003211584,0.000973265,0.7675668,0.00005228885,0.0000163271,0.0001490147,0.002667258,0.2244862,0.0000519958,0.002144629,0.001327573,0.0002434484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967093,0.00006400308,0.00005816963,0.000732029,0.0002579333,0.0001769338,0.00003982944,0.000009868941,0.001951953],"genre_scores_gemma":[0.9992112,0.0001116102,0.0003185476,0.0001030984,0.00008726623,4.240744e-7,0.00008365933,0.000001790926,0.00008243886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1637702,"threshold_uncertainty_score":0.9542594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061132127500143,"score_gpt":0.2212007121815049,"score_spread":0.2005893909065035,"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."}}