{"id":"W3111227788","doi":"10.1002/lno.11666","title":"Responses of phytoplankton communities to the effect of internal wave‐powered upwelling","year":2020,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Upwelling; Phytoplankton; Water column; Ecosystem; Chlorophyll a; Oceanography; Nutrient; Environmental science; Biomass (ecology); Marine ecosystem; Chlorophyll; Biology; Ecology; Geology; Botany","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":[0.0001626821,0.0002357248,0.0002966922,0.0002791793,0.0003383637,0.0002930676,0.0001216502,0.0001849282,0.0006209326],"category_scores_gemma":[0.0003451823,0.000160302,0.0002310815,0.0001979232,0.0002876541,0.0001733177,0.0004023013,0.0002728696,0.00008066992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436186,"about_ca_system_score_gemma":0.0002022738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004699759,"about_ca_topic_score_gemma":0.006748719,"domain_scores_codex":[0.99991,0.0000162227,0.000006691214,0.00002330993,0.00002042213,0.00002340458],"domain_scores_gemma":[0.9996927,0.00003421867,0.00009511362,0.00002161587,0.00007445198,0.00008196719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005389056,0.00011658,0.5982772,0.00006409217,0.0001303439,0.0001828885,0.0004961339,0.0009857799,0.3930172,0.00004857311,0.0001226911,0.006019674],"study_design_scores_gemma":[0.000003173612,0.00009475572,0.996904,0.000001476342,0.000008283271,0.00001120293,0.0001604377,0.0004599942,0.002298383,0.0000123892,0.00004283436,0.000003145898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998062,0.000009060944,0.00004676461,0.000003335809,0.000001540227,0.000002782751,0.00002914417,0.000001343739,0.00009970504],"genre_scores_gemma":[0.9997614,0.00001281998,0.00005402584,0.000007391103,0.000002160118,0.000006060618,0.00006539334,5.643341e-7,0.00009016306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699759,"threshold_uncertainty_score":0.009344816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369211100939873,"score_gpt":0.1999016506438347,"score_spread":0.186209539634436,"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."}}