{"id":"W4403824708","doi":"10.1073/pnas.2405354121","title":"Carbon-centric dynamics of Earth’s marine phytoplankton","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Frontier Institute; National Aeronautics and Space Administration","keywords":"Phytoplankton; Environmental science; Biogeochemistry; Biogeochemical cycle; Oceanography; Biomass (ecology); Argo; Water column; Carbon cycle; Marine snow; Ecology; Ecosystem; Geology; Biology; Nutrient","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000188654,0.0001903051,0.0001302664,0.0007000927,0.0002214196,0.0005249932,0.0002172403,0.0002973875,0.0004925128],"category_scores_gemma":[0.0008586699,0.0001382872,0.0002238193,0.001009095,0.0002335481,0.0008111676,0.0002934517,0.0001781668,0.0001247299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008511977,"about_ca_system_score_gemma":0.0002381066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02593816,"about_ca_topic_score_gemma":0.02359558,"domain_scores_codex":[0.999945,0.000007862332,0.000003939759,0.00002310099,0.00001230208,0.000007738224],"domain_scores_gemma":[0.9998242,0.00004529767,0.00005005453,0.00001911684,0.00004398791,0.00001736307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000770339,0.00005156441,0.8337777,0.00006719477,0.0001587849,0.0001105927,0.0002049811,0.1252569,0.01878355,0.003092489,0.001219931,0.01719931],"study_design_scores_gemma":[0.000008069399,0.00001574531,0.8306752,0.0000130606,0.00001803045,0.00008273995,0.0001403873,0.1639073,0.001660983,0.00178808,0.00166891,0.00002139085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951527,0.0001844146,0.001502823,0.0001485638,0.000004196711,0.000003753457,0.001214451,0.00002906318,0.001760101],"genre_scores_gemma":[0.9980962,0.0001398452,0.000810194,0.00002933202,0.000003107309,0.000003494614,0.0006888869,0.00001039519,0.0002185742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02593816,"threshold_uncertainty_score":0.05157435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709022294108943,"score_gpt":0.2326970575299724,"score_spread":0.2156068345888829,"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."}}