{"id":"W3005272128","doi":"10.1038/s41396-020-0597-3","title":"Insights into the bioavailability of oceanic dissolved Fe from phytoplankton uptake kinetics","year":2020,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation; Armenian National Science and Education Fund; National Science Foundation","keywords":"Seawater; Phytoplankton; Bioavailability; Environmental chemistry; Chemical oceanography; Genetic algorithm; Oceanography; Siderophore; Biology; Chemistry; Ecology; Nutrient; Microorganism; Geology","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":[0.0002281001,0.0001076115,0.0001782373,0.00001410939,0.0001983353,0.00007803427,0.0005204458,0.00003807257,0.001607276],"category_scores_gemma":[0.0000691007,0.00004897952,0.00009199334,0.0001675734,0.00009401207,0.00009379545,0.00003800697,0.0003131569,0.00009719286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003092388,"about_ca_system_score_gemma":0.00004705638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319619,"about_ca_topic_score_gemma":0.002557395,"domain_scores_codex":[0.9989216,0.0001639682,0.0003465383,0.0001205246,0.0003011144,0.0001462733],"domain_scores_gemma":[0.9992319,0.0001824125,0.0002002297,0.0002146666,0.00004654643,0.0001242433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001033543,0.000214684,0.5268106,0.0001760516,0.0006406643,0.00008757544,0.04343526,0.00304449,0.01307786,0.0004971742,0.02547024,0.3855119],"study_design_scores_gemma":[0.0004661054,0.0005039219,0.8819321,0.00003512046,0.00007784993,0.00002575973,0.002300546,0.02445886,0.00147243,0.008043814,0.08048218,0.0002013062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909596,0.00116397,0.0001216668,0.003318298,0.0003392503,0.0000969107,0.00002618783,0.00001131931,0.003962803],"genre_scores_gemma":[0.9986207,0.0001449922,0.00006106823,0.0005284327,0.000560732,1.602135e-7,0.00001415536,0.000002745288,0.00006704009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3853106,"threshold_uncertainty_score":0.9993054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729474216989766,"score_gpt":0.195778558977656,"score_spread":0.1784838168077583,"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."}}