{"id":"W2514875772","doi":"10.1098/rsta.2016.0076","title":"Coastal ocean and shelf-sea biogeochemical cycling of trace elements and isotopes: lessons learned from GEOTRACES","year":2016,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK; Royal Society; National Science Foundation","keywords":"Geotraces; Biogeochemical cycle; Oceanography; Cycling; Environmental science; TRACE (psycholinguistics); Earth science; Geology; Seawater; Environmental chemistry; Chemistry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793978,0.0005774386,0.0005096739,0.0005970283,0.0002243473,0.001586362,0.0007244329,0.0008142886,0.001702496],"category_scores_gemma":[0.002254858,0.0001737147,0.0004201643,0.001282795,0.001257019,0.00221983,0.001304517,0.001053481,0.000312432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524981,"about_ca_system_score_gemma":0.001821113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03092787,"about_ca_topic_score_gemma":0.03899829,"domain_scores_codex":[0.999714,0.00006119526,0.00001981629,0.00007898053,0.00008813058,0.00003789661],"domain_scores_gemma":[0.9990708,0.0003659254,0.00007818109,0.0001177906,0.0002786741,0.00008873097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003957828,0.00009895561,0.09418594,0.0009964556,0.0002037869,0.0004295084,0.001082815,0.03259566,0.01586582,0.03947675,0.007621376,0.8070472],"study_design_scores_gemma":[0.0001337387,0.001405925,0.1803548,0.001827987,0.0004107785,0.0004073355,0.004025705,0.05068415,0.03394706,0.181876,0.5446985,0.0002280045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6692216,0.1329423,0.05586902,0.06821702,0.001120476,0.00007467378,0.005017763,0.0005180526,0.06701918],"genre_scores_gemma":[0.8247536,0.12509,0.03309963,0.003732859,0.000750886,0.0000508475,0.001666425,0.0002657821,0.01059008],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03092787,"threshold_uncertainty_score":0.06149572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841626046675591,"score_gpt":0.2671918548531894,"score_spread":0.2287755943864335,"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."}}