{"id":"W3013900477","doi":"10.1016/j.marenvres.2020.104965","title":"Ocean acidification interacts with variable light to decrease growth but increase particulate organic nitrogen production in a diatom","year":2020,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University","funders":"Huangshan University; China Postdoctoral Science Foundation; Hainan University; National Natural Science Foundation of China","keywords":"Thalassiosira pseudonana; Phytoplankton; Diatom; Biogeochemical cycle; Carbon fixation; Nitrogen; Light intensity; Biomass (ecology); Chemistry; Growth rate; Productivity; Redfield ratio; Environmental chemistry; Photoinhibition; Photosynthesis; Nutrient; Botany; Biology; Photosystem II; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005865784,0.0001509826,0.0001605124,0.0001403889,0.0001265757,0.00009090315,0.000224613,0.0000415786,0.005234614],"category_scores_gemma":[0.0004076282,0.0001244997,0.00002065497,0.0006575275,0.00004173763,0.0002999076,0.0001983747,0.0002989703,0.001029548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004772083,"about_ca_system_score_gemma":0.00009415417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006052044,"about_ca_topic_score_gemma":0.002571603,"domain_scores_codex":[0.9979562,0.0002513633,0.0002427529,0.0005129888,0.0005717607,0.0004649534],"domain_scores_gemma":[0.9988944,0.00006880033,0.00004110338,0.0002126392,0.00001635249,0.0007667217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006360987,0.0001248878,0.9878107,0.00004271614,0.00001512528,0.00009362352,0.000214326,0.0002607514,0.002983533,0.000009610962,0.0002978547,0.007510811],"study_design_scores_gemma":[0.000867116,0.001074373,0.9555388,0.00004393919,0.00001834648,0.00005607305,0.0008759151,0.006989128,0.02796341,0.0004961308,0.005649838,0.0004269402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938717,0.00002158927,0.00001390774,0.002350119,0.00002904498,0.0006262613,0.00002182094,0.0000266741,0.003038899],"genre_scores_gemma":[0.9987622,0.00003104083,0.0001538506,0.000243623,0.0001074861,0.000009162399,0.0002605547,0.00001135672,0.0004207516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03227187,"threshold_uncertainty_score":0.9997483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151255924647216,"score_gpt":0.2141116766774454,"score_spread":0.1989860842127238,"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."}}