{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002431635,0.0002356234,0.0002355342,0.0000709536,0.001292686,0.0003602614,0.001571028,0.0002759657,0.003686481],"category_scores_gemma":[0.0009472041,0.0002136656,0.00006009138,0.0002208243,0.0004692166,0.000005418793,0.001911524,0.0007408759,0.002131874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438706,"about_ca_system_score_gemma":0.000009740487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002447157,"about_ca_topic_score_gemma":0.00002830477,"domain_scores_codex":[0.9982504,0.0005146615,0.0002026262,0.0004337334,0.0003007889,0.0002977896],"domain_scores_gemma":[0.998619,0.00002547957,0.0001331315,0.0007973672,0.0002386078,0.000186462],"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":[0.0001336656,0.00008863444,9.000657e-7,0.00005933393,0.0001271277,0.0000149199,0.0001089227,0.000003301552,0.001118224,0.000003024498,0.9931105,0.005231412],"study_design_scores_gemma":[0.0004530824,0.0007669734,0.0001596446,0.00004286098,0.00003713729,0.00002516116,0.000382725,0.000003965869,0.000397691,0.00001502313,0.9974554,0.0002603022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002401498,0.00008464162,0.0003305511,0.0008318122,0.00009496229,0.0002125174,0.9913833,0.0002060701,0.004454712],"genre_scores_gemma":[0.002470919,0.0003495011,0.0001647664,0.0006370555,0.0003201066,5.619081e-8,0.9951069,0.0005298463,0.0004208341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00497111,"threshold_uncertainty_score":0.9986451,"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."}}