{"id":"W3155156833","doi":"10.1038/s41598-021-87906-4","title":"A decadal perspective on north water microbial eukaryotes as Arctic Ocean sentinels","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; ArcticNet; Canada First Research Excellence Fund; Fonds Québécois de la Recherche sur la Nature et les Technologies; Compute Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Arctic; Diatom; Phytoplankton; Oceanography; Plankton; Ecology; Biology; Ecosystem; Arctic ecology; Bloom; Water column; Chaetoceros; Picoplankton; Marine ecosystem; Nutrient; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002338454,0.0002589088,0.0001668154,0.0005604562,0.0004212903,0.001670455,0.0002184371,0.000638035,0.002143007],"category_scores_gemma":[0.001989781,0.00009946257,0.0001155177,0.0007912989,0.000691033,0.002046698,0.001345787,0.001153946,0.0002556703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008423124,"about_ca_system_score_gemma":0.001090672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005687355,"about_ca_topic_score_gemma":0.01317811,"domain_scores_codex":[0.9997274,0.00006766306,0.00002311798,0.00006278966,0.00005126287,0.00006773466],"domain_scores_gemma":[0.9976255,0.0003646198,0.0005770045,0.0001329861,0.000689977,0.0006098853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001189927,0.0001068557,0.1811362,0.001824444,0.0002343531,0.0004791988,0.005445416,0.001931812,0.02821039,0.05925281,0.04087375,0.6793149],"study_design_scores_gemma":[0.00001175708,0.000315663,0.3126658,0.000979664,0.0001064828,0.0003368666,0.004027209,0.0008073662,0.003191002,0.006989432,0.6705179,0.00005093205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.556989,0.2643241,0.008973952,0.1158549,0.008562814,0.00003244952,0.004218824,0.0002511814,0.04079275],"genre_scores_gemma":[0.890591,0.08502787,0.005588168,0.008696645,0.002549963,0.00002961528,0.001271021,0.00005277879,0.006193022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005687355,"threshold_uncertainty_score":0.01236707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852128335459025,"score_gpt":0.230421898124784,"score_spread":0.2219006147701937,"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."}}