{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823883,0.0002643898,0.0002331221,0.0009158494,0.001090432,0.00065898,0.0001617804,0.0001959619,0.0005677828],"category_scores_gemma":[0.0003734371,0.000159934,0.0001749764,0.001652962,0.0004281758,0.0002128169,0.0004231228,0.0001952987,0.0001253122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445303,"about_ca_system_score_gemma":0.001604389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5240695,"about_ca_topic_score_gemma":0.7379914,"domain_scores_codex":[0.9998711,0.00001192384,0.00001169165,0.00004089577,0.00002884325,0.0000355209],"domain_scores_gemma":[0.9995263,0.00002784784,0.0001701,0.00001134388,0.0001527681,0.0001116075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009433387,0.00001881056,0.9902714,0.00001533887,0.00003797903,0.00008131468,0.0008401898,0.00009082222,0.007018988,0.00003407247,0.00004157157,0.001455223],"study_design_scores_gemma":[4.113837e-7,0.000006713772,0.9991971,0.000002121071,0.000005168485,0.00001446968,0.0006033228,0.00002506664,0.00006864884,0.000004388967,0.00007129098,0.000001270942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994109,0.0001171722,0.00001377158,0.000008496343,0.000001410924,0.000001192374,0.0001204196,6.360206e-7,0.0003260836],"genre_scores_gemma":[0.9992307,0.0001810617,0.00007710108,0.00001335214,0.000002302404,0.000002432839,0.0002485438,0.000001319695,0.0002431552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5240695,"threshold_uncertainty_score":0.9574666,"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."}}