{"id":"W2102761435","doi":"10.1029/2005gb002557","title":"Wintertime phytoplankton bloom in the subarctic Pacific supported by continental margin iron","year":2006,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Argonne National Laboratory; Basic Energy Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Subarctic climate; Continental margin; Oceanography; Continental shelf; Geology; Phytoplankton; Bloom; Iron fertilization; Oxygen minimum zone; Southern Hemisphere; Upwelling; Paleontology; Climatology; Ecology; Nutrient; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000164935,0.0001857744,0.0001909262,0.00002428775,0.0000596933,0.00009223505,0.0003176744,0.00009858167,0.001012881],"category_scores_gemma":[0.00001427913,0.0001286418,0.00007397038,0.0002609793,0.00009595182,0.00009647263,0.00002281389,0.0001293585,0.0002609771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108393,"about_ca_system_score_gemma":0.00001533217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556472,"about_ca_topic_score_gemma":0.008646295,"domain_scores_codex":[0.9986189,0.00007557273,0.0002991553,0.0003038174,0.0002774239,0.0004251341],"domain_scores_gemma":[0.9995981,0.00006129214,0.00006437347,0.0001895148,0.00001349505,0.00007323337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005978049,0.00007181717,0.9639315,0.00001936967,0.000005269937,0.00003821839,0.00001253787,0.000002363166,0.002731843,0.00003580072,0.02984647,0.00324501],"study_design_scores_gemma":[0.001145517,0.0001837134,0.9233738,0.00005147346,0.00003888367,0.0002290047,0.0006431833,0.001388628,0.006872325,0.003844959,0.06163099,0.000597511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622711,0.0005816726,0.000001900486,0.0008094487,0.0001017741,0.0001743305,0.001351885,0.00004261972,0.03466529],"genre_scores_gemma":[0.9968745,0.00001185937,0.00001814163,0.0001869617,0.0001126871,0.000002666836,0.002701049,0.000002286377,0.00008989441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04055771,"threshold_uncertainty_score":0.9999003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004476359480491097,"score_gpt":0.1858238750527524,"score_spread":0.1813475155722613,"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."}}