{"id":"W3114591125","doi":"10.3389/fenvs.2020.538635","title":"Environmental and Biological Determinants of Algal Lipids in Western Arctic and Subarctic Seas","year":2020,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Memorial University of Newfoundland; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Fonds Québécois de la Recherche sur la Nature et les Technologies; Fonds de recherche du Québec – Nature et technologies; ArcticNet","keywords":"Phytoplankton; Polyunsaturated fatty acid; Arctic; Subarctic climate; Nutrient; Docosahexaenoic acid; Ecology; Biology; Environmental chemistry; Chemistry; Fatty acid; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815227,0.000116429,0.0002033083,0.00007170548,0.00006500156,0.00002261827,0.0001948897,0.00004319604,0.00015378],"category_scores_gemma":[0.00001892553,0.00009883266,0.00001594232,0.0001284309,0.0008577883,0.0002798333,0.0001121485,0.0001219794,0.0000102192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001860519,"about_ca_system_score_gemma":0.00001149598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004268561,"about_ca_topic_score_gemma":0.0002991886,"domain_scores_codex":[0.9988191,0.00005876968,0.000220561,0.0003918523,0.0002294063,0.0002803672],"domain_scores_gemma":[0.9996482,0.00002772775,0.00005652488,0.00008237093,4.916866e-7,0.0001847044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002960044,0.00001897486,0.9608189,0.00001507499,9.756194e-7,0.00001567249,0.0003273424,0.0000217742,0.0006976539,3.589226e-7,0.000002454694,0.03805121],"study_design_scores_gemma":[0.000292209,0.0002298941,0.9885646,0.00001196883,0.0000022625,0.00001783104,0.0008696053,0.009559176,0.0001756315,0.0000430825,0.0001155936,0.0001182002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999089,0.0004354111,0.00001563329,0.00005014575,0.00009762191,0.0001490848,0.00003750787,0.000003734345,0.0001218794],"genre_scores_gemma":[0.9991498,0.0003402866,0.0003647968,0.0001081898,0.00001670365,0.000001305045,0.000005160164,0.000001947282,0.00001182902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03793301,"threshold_uncertainty_score":0.4030279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009000353692510581,"score_gpt":0.1772455607887181,"score_spread":0.1682452070962075,"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."}}