{"id":"W4220993437","doi":"10.5194/bg-19-295-2022","title":"Temporal dynamics of surface ocean carbonate chemistry in response to natural and simulated upwelling events during the 2017 coastal El Niño near Callao, Peru","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Bundesministerium für Bildung und Forschung; Leibniz-Gemeinschaft; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Upwelling; Mesocosm; Oceanography; Phytoplankton; Carbonate; Biogeochemical cycle; Environmental science; Surface water; Ocean acidification; Ecosystem; Environmental chemistry; Geology; Climate change; Chemistry; Ecology; Biology; Nutrient","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":[0.0001681253,0.0002662275,0.0001972713,0.0003200129,0.0002797126,0.0004392593,0.0002638818,0.0003609419,0.0005041079],"category_scores_gemma":[0.00043597,0.00015065,0.0003280347,0.0003285485,0.0002060612,0.0002620094,0.0004919551,0.0002695429,0.00007591309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000719242,"about_ca_system_score_gemma":0.0003836129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03161152,"about_ca_topic_score_gemma":0.05483401,"domain_scores_codex":[0.9999348,0.00001001232,0.000004488919,0.00002209895,0.00001445185,0.0000141227],"domain_scores_gemma":[0.9998116,0.00003526991,0.00005070809,0.00001088772,0.00004571013,0.00004585741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004628459,0.0002069948,0.9570209,0.00008619173,0.0002576674,0.0003679975,0.0005307712,0.004663048,0.03065653,0.0001063029,0.0007255911,0.00491525],"study_design_scores_gemma":[0.00001187594,0.00005567917,0.9935566,0.000004469995,0.00002053399,0.0000149391,0.0002093685,0.00513076,0.0007098325,0.00001820586,0.0002618112,0.000005933744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993219,0.00002680343,0.00004911341,0.00003046562,0.000003678858,0.000006400903,0.000333208,0.000008007274,0.0002204192],"genre_scores_gemma":[0.9990132,0.00004596167,0.00008861051,0.00001425071,0.000003583288,0.00002375332,0.0006923347,0.000002265497,0.0001159476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03161152,"threshold_uncertainty_score":0.06285506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007288604675740554,"score_gpt":0.2209448426480587,"score_spread":0.2136562379723182,"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."}}