{"id":"W1980501869","doi":"10.1016/j.dsr.2013.07.010","title":"The role of phytoplankton composition and microbial community metabolism in sea–air ΔpCO2 variation in the Weddell Sea","year":2013,"lang":"en","type":"article","venue":"Deep Sea Research Part I Oceanographic Research Papers","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Institut national des sciences de l'Univers; Natural Sciences and Engineering Research Council of Canada; Université Pierre et Marie Curie; Instituto Antártico Argentino; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Phytoplankton; Upwelling; Sink (geography); Oceanography; Plankton; Chlorophyll a; Seawater; Environmental science; Incubation; Nutrient; Biology; Ecology; Geology; Botany; Geography","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":[0.0003090164,0.0002722478,0.0002215902,0.0004683504,0.0005978776,0.0006758284,0.0002931285,0.0003988353,0.0009392984],"category_scores_gemma":[0.000425284,0.0003942716,0.0002305793,0.0003938933,0.0004577189,0.0005917103,0.0005653625,0.0003128424,0.0001959856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007882235,"about_ca_system_score_gemma":0.0004904554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06280135,"about_ca_topic_score_gemma":0.0724138,"domain_scores_codex":[0.9999199,0.00001402488,0.000007241114,0.00003178834,0.00000778089,0.00001923006],"domain_scores_gemma":[0.9997267,0.00006852931,0.00005091467,0.00002333997,0.00005124206,0.00007926307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004060054,0.00004227833,0.9735353,0.00002549694,0.00008905062,0.00009696509,0.0004715785,0.0003671848,0.02155907,0.00008812074,0.00009479851,0.00322419],"study_design_scores_gemma":[0.000003603858,0.00001414797,0.9992744,0.00000225497,0.000006566234,0.000009687528,0.000149806,0.0002210651,0.0002450547,0.00001252832,0.00005912497,0.00000171121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996166,0.00007206534,0.00002752768,0.00002008432,0.000003674034,0.000001263873,0.0000832665,9.857202e-7,0.0001744067],"genre_scores_gemma":[0.99957,0.00004681388,0.00004080788,0.0000199819,0.000003237717,0.00000200366,0.0001119778,0.00000176346,0.0002035462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06280135,"threshold_uncertainty_score":0.1248716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746057592286655,"score_gpt":0.2723927589759416,"score_spread":0.2449321830530751,"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."}}