{"id":"W2000946245","doi":"10.1073/pnas.1307701110","title":"Present and future global distributions of the marine Cyanobacteria <i>Prochlorococcus</i> and <i>Synechococcus</i>","year":2013,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1446,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Natural Science Foundation of China; Division of Emerging Frontiers; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; Gordon and Betty Moore Foundation; National Aeronautics and Space Administration; National Science Foundation","keywords":"Prochlorococcus; Synechococcus; Cyanobacteria; Niche; Biogeochemical cycle; Ecology; Abundance (ecology); Biology; Ocean gyre; Ecosystem; Environmental science; Oceanography; Atmospheric sciences; Subtropics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003749459,0.0003622572,0.0001234817,0.0004260961,0.0001061508,0.0005549348,0.0002286285,0.000383069,0.0009021664],"category_scores_gemma":[0.001449337,0.0001817841,0.000516444,0.0005247086,0.0002746717,0.001474238,0.0003524223,0.0002992589,0.0002017226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000802581,"about_ca_system_score_gemma":0.00037964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009088614,"about_ca_topic_score_gemma":0.01153203,"domain_scores_codex":[0.9999161,0.00001804393,0.000003961221,0.00003498268,0.00001599995,0.00001104294],"domain_scores_gemma":[0.9996871,0.00009028344,0.0001071695,0.00002456574,0.00005852593,0.00003239824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001344246,0.00003355164,0.4359652,0.0001586639,0.0002896166,0.0001798613,0.0003291648,0.4843025,0.01180112,0.01010277,0.003140193,0.05356289],"study_design_scores_gemma":[0.00001861884,0.00007916716,0.3309028,0.00006316405,0.0001453313,0.0003181731,0.0004845416,0.6451942,0.001821708,0.01416827,0.006752178,0.00005200681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640359,0.001330191,0.02641387,0.0008502406,0.00002412152,0.000008021318,0.002807908,0.0002043505,0.004325322],"genre_scores_gemma":[0.9943858,0.0005339918,0.003551483,0.0000557503,0.00000839886,0.000008994374,0.001098971,0.00002416486,0.0003323564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009088614,"threshold_uncertainty_score":0.01807141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098137477220791,"score_gpt":0.2201146503687024,"score_spread":0.2091332755964945,"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."}}