{"id":"W3107486053","doi":"10.1594/pangaea.917599","title":"Metadata and NCBI-Accession numbers of Vazella pourtalesii metagenomes from the Scotian Shelf (Canada) in summer 2017","year":2020,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020","keywords":"Metadata; Accession; Geography; Accession number (library science); Database; World Wide Web; Biology; Business; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000606022,0.001352997,0.001088404,0.005950302,0.001960659,0.001688484,0.001403023,0.0007596058,0.01520578],"category_scores_gemma":[0.00240172,0.0005031892,0.0007236018,0.01344782,0.0006144198,0.0005887533,0.001334817,0.001014475,0.009260661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00739266,"about_ca_system_score_gemma":0.02246707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8502784,"about_ca_topic_score_gemma":0.916637,"domain_scores_codex":[0.9994038,0.0000269809,0.00004862601,0.0001590373,0.0001658079,0.000195709],"domain_scores_gemma":[0.9982666,0.0001968383,0.0001489502,0.0001803312,0.0009182938,0.0002889152],"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":[0.000727192,0.0000516156,0.04440815,0.006307362,0.0003919149,0.0004430459,0.0009587335,0.001829744,0.006158922,0.002291569,0.9165936,0.01983816],"study_design_scores_gemma":[0.0001295835,0.00001742357,0.08819147,0.0009525027,0.0001836273,0.0001502836,0.0006459049,0.0003614656,0.001594867,0.0007083608,0.9070038,0.0000606593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001008606,0.0001838384,0.00004627384,0.00001835716,0.000007359527,0.000005906196,0.998152,0.0000880152,0.0004896056],"genre_scores_gemma":[0.002070724,0.0001882975,0.000256894,0.00001913312,0.000001744259,0.00001938848,0.9969677,0.00002984768,0.0004461171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1497216,"threshold_uncertainty_score":0.3012066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08858275111853468,"score_gpt":0.3096593038183385,"score_spread":0.2210765526998038,"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."}}