{"id":"W2550957252","doi":"10.5194/bg-14-1919-2017","title":"The roles of resuspension, diffusion and biogeochemical processes on oxygen dynamics offshore of the Rhône River, France: a numerical modeling study","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research; Dalhousie University; Commonwealth of Virginia; National Oceanic and Atmospheric Administration; Agence Nationale de la Recherche; Center for Sponsored Coastal Ocean Research; National Science Foundation","keywords":"Biogeochemical cycle; Seabed; Sediment; Environmental science; Water column; Biogeochemistry; Sediment–water interface; Oceanography; Hydrology (agriculture); Geology; Environmental chemistry; Chemistry; Geomorphology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004209193,0.0001075044,0.0001757383,0.00003053039,0.0009035334,0.00009269827,0.000807493,0.00003982103,0.00001023409],"category_scores_gemma":[0.0004027215,0.00004925704,0.00003934087,0.0001937904,0.0004838909,0.0001196309,0.0001490749,0.0000775537,0.000001416798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001721895,"about_ca_system_score_gemma":0.00006953685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009672339,"about_ca_topic_score_gemma":0.02361685,"domain_scores_codex":[0.9987839,0.00005514772,0.0002517915,0.0002571419,0.0004721488,0.0001798027],"domain_scores_gemma":[0.9990631,0.0001436209,0.0002470594,0.0003961168,0.00009640116,0.00005372458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004430161,0.00005273117,0.9842669,0.00002145683,0.000004855884,7.23903e-7,0.0003364906,0.00006087509,0.000138373,0.00005361285,0.00001826226,0.01500142],"study_design_scores_gemma":[0.000283182,0.0004726041,0.7127624,0.000108089,0.00001951321,0.000005366899,0.003938345,0.2799005,0.0005780256,0.001273502,0.0005085655,0.0001499629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976726,0.0004107275,0.00001489688,0.000486859,0.0001902055,0.0002301074,0.0000778984,0.00000643615,0.0009103391],"genre_scores_gemma":[0.9997103,0.0001543253,0.00002542058,0.00001459777,0.00003226467,0.00000138113,0.000004111982,0.000001502671,0.00005614181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2798396,"threshold_uncertainty_score":0.9969223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273392022398567,"score_gpt":0.2209957802695568,"score_spread":0.2082618600455712,"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."}}