{"id":"W2807318117","doi":"10.5194/bg-16-1563-2019","title":"Inputs and processes affecting the distribution of particulate iron in the North Atlantic along the GEOVIDE (GEOTRACES GA01) section","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Geotraces; Particulates; Biogeochemical cycle; Water column; Geology; Trace metal; Photic zone; Oceanography; Trace element; Continental shelf; Continental margin; Scavenging; Seawater; Environmental chemistry; Geochemistry; Metal; Chemistry; Phytoplankton; Paleontology; Nutrient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001140455,0.0002626512,0.0001837485,0.0005240928,0.000364711,0.0005083391,0.0002073721,0.000288561,0.0009189078],"category_scores_gemma":[0.00021595,0.0001934259,0.0002434948,0.0004042379,0.0001957085,0.0001861313,0.0004315957,0.0001973741,0.0001884897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102124,"about_ca_system_score_gemma":0.0005161318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621742,"about_ca_topic_score_gemma":0.2851263,"domain_scores_codex":[0.999918,0.000006582807,0.000004811254,0.00002996322,0.00001965068,0.00002106904],"domain_scores_gemma":[0.9999057,0.000008697638,0.00003477048,0.000005953273,0.00002986691,0.00001496457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001540144,0.00003060896,0.9469026,0.00004438681,0.00009446591,0.0002006245,0.0003881324,0.0009183463,0.03862291,0.0001122685,0.0002666322,0.01226504],"study_design_scores_gemma":[0.000001541821,0.000006883548,0.9992709,0.000003647321,0.000005311661,0.000008998343,0.00007444555,0.0002034315,0.0001690992,0.000006685439,0.0002479668,0.000001141922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981288,0.00009944147,0.0000834878,0.0000303367,0.00000394667,0.000004225421,0.0005408707,0.00001114712,0.001097716],"genre_scores_gemma":[0.9984702,0.00006555843,0.0002114781,0.00001795952,0.000003773606,0.000004077168,0.000698632,0.000005432168,0.0005227938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621742,"threshold_uncertainty_score":0.3224605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008950758934913485,"score_gpt":0.1920588060843843,"score_spread":0.1831080471494708,"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."}}