{"id":"W2132918635","doi":"10.4319/lo.2001.46.7.1802","title":"Iron uptake and physiological response of phytoplankton during a mesoscale Southern Ocean iron enrichment","year":2001,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"National Institute of Water and Atmospheric Research; University of Otago","keywords":"Phytoplankton; Nitrate; Environmental chemistry; Plankton; Mesoscale meteorology; Bloom; Seawater; Oceanography; Chemistry; Genetic algorithm; Nutrient; Biology; Ecology; Geology","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":[0.0002072086,0.00015025,0.0002437983,0.0001416747,0.000142259,0.00001449542,0.00009548341,0.000130963,0.0002219536],"category_scores_gemma":[0.00001349923,0.0001142333,0.00005904099,0.0001797487,0.0002071066,0.0000698365,0.00003471262,0.0001286558,0.00001032093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.821238e-7,"about_ca_system_score_gemma":0.000007331774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001320813,"about_ca_topic_score_gemma":0.0002491586,"domain_scores_codex":[0.998987,0.0001377777,0.0002188584,0.0002894654,0.00009234057,0.00027451],"domain_scores_gemma":[0.9995747,0.00008346046,0.00008661675,0.0001448057,0.00001353273,0.00009691739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001099972,0.00003238095,0.9934543,0.00005136996,0.00001988203,0.00002802851,0.0003866341,0.00001735315,0.0008183419,0.00002242996,0.00005239729,0.004016871],"study_design_scores_gemma":[0.000524575,0.0006045051,0.9958616,0.00001550334,0.0000185662,0.00008667122,0.0007578892,0.000173682,0.0001375642,0.0002548939,0.001421924,0.0001426103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971125,0.001493555,0.000003168508,0.0001269033,0.00008002001,0.0001118717,0.00004626489,0.00003771464,0.0009879945],"genre_scores_gemma":[0.9989223,0.0006277055,0.00004451605,0.0000795714,0.0000486882,5.743293e-7,0.00002380066,0.000002839319,0.0002499776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003874261,"threshold_uncertainty_score":0.46583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009809925289474466,"score_gpt":0.192433147934966,"score_spread":0.1826232226454916,"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."}}