{"id":"W2529683671","doi":"10.5194/bg-14-3129-2017","title":"Implications of sea-ice biogeochemistry for oceanic production and emissions of dimethyl sulfide in the Arctic","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Manitoba; Fisheries and Oceans Canada; University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta; ArcticNet","keywords":"Dimethyl sulfide; Dimethylsulfoniopropionate; Sea ice; Biogeochemistry; Oceanography; Water column; Arctic; Arctic ice pack; Environmental science; Bloom; Phytoplankton; Sulfur cycle; Carbon cycle; Geology; Sulfate; Ecosystem; Sulfur; Chemistry; Nutrient; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004226595,0.0007869821,0.0004755211,0.0002814071,0.0005367261,0.0009664753,0.0005331186,0.0006303732,0.0007011768],"category_scores_gemma":[0.0005714963,0.0004148135,0.001106981,0.0002263094,0.0003955328,0.0004705106,0.0004697263,0.0003581152,0.00009918545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026041,"about_ca_system_score_gemma":0.001446767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0575169,"about_ca_topic_score_gemma":0.02967815,"domain_scores_codex":[0.9998965,0.0000331437,0.000008263727,0.00002364589,0.00001223076,0.00002611243],"domain_scores_gemma":[0.9998247,0.00006982549,0.00002569378,0.00001132988,0.00003445699,0.00003398547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002225184,0.0001052256,0.0682372,0.000057439,0.0001369967,0.0002168128,0.00004754105,0.9086685,0.01993429,0.0005755651,0.0001146116,0.001683307],"study_design_scores_gemma":[0.00006013045,0.0001426381,0.03210308,0.00001328703,0.00006606412,0.00002398221,0.00008072006,0.9619336,0.005022153,0.0002924637,0.0002414288,0.00002054937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979226,0.00009697345,0.0009144478,0.0000671704,0.00001314852,0.00000760228,0.000243191,0.00001850134,0.0007163496],"genre_scores_gemma":[0.9993634,0.00007385248,0.0002944485,0.00001232437,0.000002854516,0.000006473622,0.000117153,0.000006257097,0.000123271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0575169,"threshold_uncertainty_score":0.1143642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609523600850848,"score_gpt":0.26218766324814,"score_spread":0.2360924272396316,"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."}}