{"id":"W4393485311","doi":"10.5281/zenodo.7612768","title":"Metabarcoding dataset of surface microbial eukaryotes in the Western Arctic Ocean (Canada Basin/Beaufort Sea)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University","funders":"","keywords":"Beaufort sea; Arctic; Oceanography; Canada Basin; Structural basin; Beaufort scale; The arctic; Geography; Geology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001247983,0.001782099,0.001838751,0.004658701,0.002176094,0.002098306,0.002350396,0.001073814,0.01510182],"category_scores_gemma":[0.002816708,0.0006501222,0.001021315,0.008894831,0.0005148859,0.0004494197,0.001818535,0.001530872,0.01695913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003764405,"about_ca_system_score_gemma":0.01353291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4209851,"about_ca_topic_score_gemma":0.5878761,"domain_scores_codex":[0.9991643,0.00006224124,0.00007166219,0.0003026347,0.0002366771,0.0001624435],"domain_scores_gemma":[0.9986253,0.000194479,0.0001243169,0.0002140573,0.0005951794,0.0002467351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005999749,0.00007144206,0.01423574,0.004409703,0.0005252384,0.0003896643,0.0004598089,0.001221848,0.00487298,0.001597959,0.9549991,0.01661665],"study_design_scores_gemma":[0.000233321,0.00003095253,0.04263442,0.0006507447,0.0002816591,0.0002364086,0.0002279794,0.0004527578,0.002100455,0.0009482999,0.9521352,0.00006774248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007798438,0.0001704286,0.000161295,0.00001697529,0.00000910037,0.00001038689,0.998254,0.0001769575,0.0004210066],"genre_scores_gemma":[0.000642502,0.00007713521,0.000499993,0.00001218132,0.000001580387,0.00002870085,0.9984524,0.00003894183,0.0002464302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5790149,"threshold_uncertainty_score":0.8370694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043448869942805,"score_gpt":0.2230276012067031,"score_spread":0.192593112507275,"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."}}