{"id":"W1973226002","doi":"10.1007/s12237-008-9119-7","title":"Multiscalarity of the Nutrient–Chlorophyll Relationship in Coastal Phytoplankton","year":2008,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Bedford Institute of Oceanography","funders":"","keywords":"Phytoplankton; Biogeochemical cycle; Environmental science; Eutrophication; Scale (ratio); Temporal scales; Spatial ecology; Ecosystem; Oceanography; Chlorophyll a; Structural basin; Climatology; Biogeochemistry; Nutrient; Ecology; Geography; Geology; Biology","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":[0.000111289,0.00008747824,0.0001463752,0.00003470926,0.0001875594,0.00001506554,0.0001103171,0.00004943271,0.00009290074],"category_scores_gemma":[0.00005311053,0.00005939542,0.00003613987,0.0001993094,0.0001769649,0.0001128552,0.00004229369,0.0001366579,0.000009405773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001370226,"about_ca_system_score_gemma":0.00004126671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01245468,"about_ca_topic_score_gemma":0.06484428,"domain_scores_codex":[0.9992754,0.00005788743,0.000201898,0.0001420439,0.0001675715,0.0001551643],"domain_scores_gemma":[0.9995931,0.0001241356,0.00007068367,0.0001425206,0.00002177318,0.00004781778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000340761,0.00001845595,0.994817,0.00002043324,0.000002767176,0.000007680962,0.0004331905,0.00006675213,0.000004514299,0.0006522945,0.0001230426,0.003819819],"study_design_scores_gemma":[0.0003169199,0.00005880604,0.9941973,0.00001987311,0.000003234256,0.00003930706,0.0001974395,0.001173824,0.00005161881,0.000773049,0.003094095,0.00007454036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924907,0.0002426515,0.00002362694,0.0001536738,0.0001841747,0.0001326229,0.00006460483,0.000009630774,0.006698311],"genre_scores_gemma":[0.9992934,0.00004877467,0.00003905447,0.00003812975,0.00003728096,0.000001195973,0.00002256557,0.000001758788,0.0005178729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0523896,"threshold_uncertainty_score":0.9941215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148704387392901,"score_gpt":0.1899914712544277,"score_spread":0.1751210325151376,"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."}}