{"id":"W2768138043","doi":"10.5194/bg-15-3169-2018","title":"Dimethyl sulfide dynamics in first-year sea ice melt ponds in the Canadian Arctic Archipelago","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature; Fisheries and Oceans Canada; Université du Québec à Rimouski; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; ArcticNet; Université Laval","keywords":"Dimethyl sulfide; Dimethylsulfoniopropionate; Sea ice; Arctic; Brackish water; Seawater; Archipelago; Oceanography; Environmental science; Atmosphere (unit); Environmental chemistry; Salinity; Geology; Chemistry; Sulfur; Ecology; Phytoplankton; Biology","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":[0.0009025159,0.0001290944,0.0001212455,0.00003678098,0.000408157,0.0001514901,0.0007814446,0.0000755587,0.0007141508],"category_scores_gemma":[0.0001947747,0.00008675171,0.0000348722,0.001205645,0.0006759042,0.000199153,0.00001520896,0.0001730939,0.0001355148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004388087,"about_ca_system_score_gemma":0.0003138667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7562551,"about_ca_topic_score_gemma":0.9937705,"domain_scores_codex":[0.9985192,0.00007661603,0.0001928442,0.0003302752,0.0003340859,0.0005469975],"domain_scores_gemma":[0.9992973,0.0002327379,0.00004953026,0.0002257265,0.00002649502,0.0001682538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007660281,0.00001014518,0.9971039,0.000006543597,0.000001225567,0.00002426544,0.0008099873,0.00002687282,0.00001763556,0.0002177822,0.00005976917,0.001714208],"study_design_scores_gemma":[0.0001458793,0.0001003837,0.9811798,0.00002694082,0.000003337946,0.00001991045,0.003061717,0.01076865,0.0002273041,0.002310831,0.001949721,0.0002054667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799064,0.00007794218,0.00000591243,0.001730989,0.0002419912,0.000116684,0.00007837933,0.00001103315,0.01783068],"genre_scores_gemma":[0.9987805,0.00001718478,0.0004675227,0.0004390491,0.0001149707,0.000001813514,0.00003773443,0.000001791483,0.0001394557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375153,"threshold_uncertainty_score":0.781945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315950167962322,"score_gpt":0.2154176617189332,"score_spread":0.20225816003931,"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."}}