{"id":"W6948306908","doi":"10.5061/dryad.05qfttf0n","title":"Fish mock community with 41 species from 13 orders","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Guelph; Shared Hierarchical Academic Research Computing Network","funders":"","keywords":"Fish <Actinopterygii>; DNA sequencing; Replicate; Fishing; Diversity (politics); Muscle tissue","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":[0.001082673,0.00180004,0.00141208,0.003304339,0.001215159,0.0009901744,0.002072449,0.001432401,0.01987572],"category_scores_gemma":[0.001908203,0.00064155,0.00125585,0.004287868,0.0006237752,0.0008013429,0.002075127,0.001119237,0.02358274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631366,"about_ca_system_score_gemma":0.001998403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05237781,"about_ca_topic_score_gemma":0.1218878,"domain_scores_codex":[0.9991334,0.0001011426,0.00008745265,0.0003439257,0.0001911663,0.0001429011],"domain_scores_gemma":[0.9993043,0.0001278851,0.00007163492,0.0001715864,0.0002115616,0.0001130131],"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":[0.001121276,0.0002233825,0.03336971,0.004338393,0.0005029577,0.0006594674,0.0004933249,0.002665929,0.006581813,0.001412031,0.9143292,0.03430254],"study_design_scores_gemma":[0.0003443209,0.00007307949,0.0607332,0.0004977492,0.0001950544,0.0005206462,0.0005830246,0.001209881,0.002068319,0.001075982,0.9326113,0.00008737292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006165939,0.0002431495,0.000310331,0.00005794632,0.0000253128,0.00004270147,0.9918361,0.0002956479,0.001022762],"genre_scores_gemma":[0.001933814,0.00005598931,0.0005449278,0.00002879599,0.000002339463,0.00008711548,0.9967687,0.00002875691,0.0005494789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05237781,"threshold_uncertainty_score":0.1041459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364010703638297,"score_gpt":0.2476924688103581,"score_spread":0.2040523617739752,"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."}}