{"id":"W2808638327","doi":"10.5194/bg-15-3497-2018","title":"Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Takuvik Joint International Laboratory; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Agència de Gestió d'Ajuts Universitaris i de Recerca; Generalitat de Catalunya; ArcticNet; National Aeronautics and Space Administration","keywords":"Dimethylsulfoniopropionate; Environmental science; Biome; Satellite; Climatology; Dimethyl sulfide; Aerosol; Plankton; Oceanography; Atmospheric sciences; Meteorology; Phytoplankton; Geology; Geography; Ecosystem; Biology; Chemistry; Ecology; Sulfur","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002366501,0.0001232774,0.0001140537,0.000001380179,0.0004084146,0.0001379982,0.0005035574,0.00006264411,0.0009429567],"category_scores_gemma":[0.00004796647,0.0000936747,0.00001771554,0.0002480546,0.001148725,0.0004548802,0.00008362163,0.00003594972,0.0001633341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006360991,"about_ca_system_score_gemma":0.00005749104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006274941,"about_ca_topic_score_gemma":0.006410052,"domain_scores_codex":[0.9986645,0.00004028055,0.0001573335,0.0005482206,0.0003227371,0.0002669118],"domain_scores_gemma":[0.9993011,0.00012041,0.00008241217,0.0002974661,0.00002879253,0.0001697845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002724359,0.00000639308,0.9816195,0.000002462386,0.000005824241,0.000002759694,0.00005992328,0.000003891316,0.003828181,0.0000179674,0.001183909,0.01324188],"study_design_scores_gemma":[0.000162775,0.00006448033,0.947002,0.00001642494,0.00001106718,0.00001456004,0.0001962605,0.005607584,0.005869477,0.0007569041,0.04008508,0.0002133653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920279,0.002746469,0.00006500129,0.0005237821,0.0002930868,0.00006519637,0.001079515,0.00003570502,0.003163367],"genre_scores_gemma":[0.9940862,0.0003913641,0.004196405,0.0002929241,0.0002774163,1.263877e-7,0.0005917842,0.000001069645,0.0001627009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03890118,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614473789764123,"score_gpt":0.253210966944466,"score_spread":0.2170662290468248,"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."}}