{"id":"W4362507094","doi":"10.1128/spectrum.03311-22","title":"High Growth Rate of Diatoms Explained by Reduced Carbon Requirement and Low Energy Cost of Silica Deposition","year":2023,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fonds Français pour l'Environnement Mondial; Agence Nationale de la Recherche; Université de Recherche Paris Sciences et Lettres; European Commission; Gordon and Betty Moore Foundation; Simons Foundation","keywords":"Phytoplankton; Diatom; Frustule; Growth rate; Dominance (genetics); Biogenic silica; Plankton; Upwelling; Biology; Photosynthesis; Exponential growth; Ecology; Oceanography; Botany; Nutrient; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002422567,0.0001454254,0.0003128885,0.0000618787,0.00009510525,0.000002148942,0.0002150027,0.000182857,0.0004458617],"category_scores_gemma":[0.00001936486,0.0001410909,0.00004207865,0.0002352694,0.0006063444,0.00003584517,0.0002966829,0.0001230045,0.00002224713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000581979,"about_ca_system_score_gemma":0.00001109779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686259,"about_ca_topic_score_gemma":0.001517912,"domain_scores_codex":[0.9987389,0.0003684911,0.0002982496,0.0002669852,0.00002120711,0.000306159],"domain_scores_gemma":[0.9994038,0.0001326909,0.0001721672,0.000241339,0.000007467512,0.00004257133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001135665,0.00007855411,0.002439704,0.00001386655,0.0000306391,0.000002307748,0.0001242513,0.00002384226,0.9916702,0.0004447131,0.004980496,0.0000778727],"study_design_scores_gemma":[0.0005164035,0.0003601647,0.01157451,0.00001121959,0.00001721251,0.00001173747,0.00002987115,0.00006191302,0.9850869,0.001853025,0.0003362682,0.0001407939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985281,0.00004485745,0.00001383881,0.0006844486,0.0001246356,0.0001428579,0.00008164257,0.00003092511,0.0003486515],"genre_scores_gemma":[0.998939,0.0001608247,0.00003444377,0.0002155915,0.0000136064,0.00001505239,0.000470367,0.00001071797,0.0001403602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009134804,"threshold_uncertainty_score":0.5753518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005180496870477276,"score_gpt":0.1922752821128935,"score_spread":0.1870947852424162,"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."}}