{"id":"W2102544532","doi":"10.4319/lo.2005.50.4.1149","title":"Copper requirements for iron acquisition and growth of coastal and oceanic diatoms","year":2005,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Thalassiosira weissflogii; Phytoplankton; Seawater; Diatom; Growth rate; Copper; Oceanography; Environmental chemistry; Algae; Biology; Thalassiosira pseudonana; Incubation; Botany; Nutrient; Ecology; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295267,0.0003006075,0.000391233,0.0002572523,0.0003098702,0.0004419637,0.000314494,0.0003530303,0.000439181],"category_scores_gemma":[0.0003715613,0.0002867376,0.0001539384,0.0002027637,0.0002746214,0.0002350634,0.0004980054,0.0002756134,0.0001289334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006601636,"about_ca_system_score_gemma":0.0003130316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009917214,"about_ca_topic_score_gemma":0.01516571,"domain_scores_codex":[0.9998506,0.00001969934,0.00002144846,0.00004708173,0.00002709468,0.00003408542],"domain_scores_gemma":[0.9997241,0.00007016504,0.00005098032,0.00002573656,0.00005430021,0.0000746665],"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":[0.000202687,0.00001610043,0.007939358,0.00004425455,0.000006214702,0.0000983881,0.000118936,0.00007851075,0.9903163,0.00002819181,0.00002019907,0.001130783],"study_design_scores_gemma":[0.00004674871,0.0007453198,0.5565107,0.00002067576,0.00006902261,0.0007447109,0.0008461534,0.003520685,0.4350923,0.0001037361,0.002268422,0.0000314525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994217,0.0001260845,0.0001133249,0.00001382508,0.000001658436,0.000002896661,0.0000807462,0.00000494604,0.0002348622],"genre_scores_gemma":[0.9986869,0.00009948861,0.0003814248,0.00001355627,0.00000213015,0.000009745092,0.0003178887,0.00000531119,0.0004836318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009917214,"threshold_uncertainty_score":0.01971895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008081758856490064,"score_gpt":0.2008989316487893,"score_spread":0.1928171727922992,"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."}}