{"id":"W2585582783","doi":"10.5194/gmd-10-453-2017","title":"Bottom RedOx Model (BROM v.1.1): a coupled benthic–pelagic model for simulation of water and sediment biogeochemistry","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Norsk Institutt for Vannforskning; Natural Environment Research Council; Norges Forskningsråd; Sight Research UK","keywords":"Biogeochemical cycle; Benthic zone; Biogeochemistry; Bioturbation; Pelagic zone; Oceanography; Environmental science; Bottom water; Sediment–water interface; Organic matter; Carbonate; Sediment; Environmental chemistry; Chemistry; Geology; Geomorphology","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":[0.0007839491,0.0002323846,0.0002878587,0.00009497084,0.0007925862,0.0002324164,0.00038913,0.0001245827,0.00008331872],"category_scores_gemma":[0.00002829703,0.0001817805,0.00007056466,0.00003976469,0.0001187103,0.0002848316,0.0001358427,0.00009595589,0.00001285976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001569236,"about_ca_system_score_gemma":0.0002418334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003576368,"about_ca_topic_score_gemma":0.0008245358,"domain_scores_codex":[0.9979165,0.00001108183,0.000521412,0.0006098913,0.0004726805,0.0004684342],"domain_scores_gemma":[0.9988565,0.00002708283,0.0002255742,0.0005404263,0.0001709671,0.0001794535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007144769,0.0000400311,0.002358563,0.0001912866,0.00002554523,8.397313e-7,0.0009484375,0.9891779,0.001881776,0.00003595123,0.0002284613,0.005039693],"study_design_scores_gemma":[0.000519771,0.00001668984,0.0005690733,0.00004194365,0.0000213555,0.000001350435,0.00003498379,0.9926264,0.003116,0.002407404,0.0003803194,0.0002646603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7906108,0.00005465773,0.2067706,0.0001140678,0.0002549636,0.0005304466,0.0003890605,0.00002991264,0.001245451],"genre_scores_gemma":[0.9742931,0.00001043645,0.01593744,0.00003863155,0.00002046972,0.00001844411,0.0008786346,0.00000761591,0.008795207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1908331,"threshold_uncertainty_score":0.7412794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592566667479411,"score_gpt":0.2277195123758124,"score_spread":0.2017938457010182,"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."}}