{"id":"W3202647222","doi":"10.1139/cjfas-2020-0423","title":"Trends in phytoplankton communities within large marine ecosystems diverge from the global ocean","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gordon and Betty Moore Foundation; National Aeronautics and Space Administration; National Institute of Advanced Industrial Science and Technology; Villum Fonden; National Science Foundation","keywords":"Phytoplankton; Marine ecosystem; Ecosystem; Sea surface temperature; Environmental science; Fishing; Oceanography; Productivity; Chlorophyll a; Biology; Fishery; Ecology; Nutrient; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221169,0.000116838,0.0001850831,0.001058033,0.0003213793,0.0004698636,0.000167296,0.000239757,0.0009732911],"category_scores_gemma":[0.0009340116,0.00009570569,0.0001910744,0.00119097,0.0002525084,0.0004735491,0.0005715221,0.0002005059,0.0001394953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008400585,"about_ca_system_score_gemma":0.0004537403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03612429,"about_ca_topic_score_gemma":0.09770685,"domain_scores_codex":[0.9998538,0.00001806873,0.00001387058,0.00004629001,0.00003080375,0.00003723929],"domain_scores_gemma":[0.9993154,0.00007289111,0.0002801329,0.00004688782,0.0001551162,0.0001296027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004105231,0.000008347962,0.9948215,0.00001459435,0.00003886307,0.00004749185,0.0003647518,0.0000585044,0.001421491,0.00004574906,0.0001427776,0.002994744],"study_design_scores_gemma":[4.54486e-7,0.000004493087,0.9996554,0.000001664417,0.000001906848,0.00001473739,0.0001561293,0.00002792769,0.00002324732,0.00000321833,0.0001101513,7.035424e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991987,0.0001029942,0.00001532917,0.00004140143,0.000001234508,0.000001496585,0.0002591971,0.000002230495,0.0003773619],"genre_scores_gemma":[0.9992084,0.00008642974,0.00006798235,0.00003031462,0.000003194903,0.000004749725,0.0003876517,0.000001362502,0.0002099789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9638757,"threshold_uncertainty_score":0.07182807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745004935551215,"score_gpt":0.1957049422980079,"score_spread":0.1782548929424957,"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."}}