{"id":"W6950165119","doi":"10.5281/zenodo.3671868","title":"Bringing Genomics to Diversity: Barcode of Life Database System & Multiplex Barcode Research and Visualization Environment","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Barcode; Visualization; Software; Data visualization; Multiplex; Genomics; Relational database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000821565,0.0001264361,0.0001552057,0.0001790639,0.001135,0.0001859595,0.0007416856,0.0000868466,0.0003775047],"category_scores_gemma":[0.001290795,0.0001355482,0.00003468437,0.0002909853,0.0002821272,0.0000173028,0.005530916,0.0001776497,0.0006875666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007344147,"about_ca_system_score_gemma":0.00001292337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002838344,"about_ca_topic_score_gemma":9.92601e-7,"domain_scores_codex":[0.9979793,0.0002511964,0.0003080467,0.0004303788,0.000627447,0.000403648],"domain_scores_gemma":[0.9985392,0.00002094167,0.00007294934,0.0003871752,0.0003786234,0.0006010971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005002954,0.0001837744,0.0001772087,0.0009223632,0.0001149364,0.000006291851,0.003607091,0.0003868137,0.9147037,0.0006235848,0.05588199,0.0228919],"study_design_scores_gemma":[0.0009598159,0.0009332864,0.0009671522,0.00006137518,0.00001422003,0.0000159256,0.002114417,0.006735615,0.02519809,0.00001134065,0.9627152,0.000273558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604456,0.0003540118,0.1278373,0.00159073,0.00007271964,0.001430343,0.001017414,0.0001770139,0.007074887],"genre_scores_gemma":[0.995098,0.0004989473,0.00178873,0.0001948245,0.0001670795,1.126752e-7,0.001798557,0.0002862925,0.000167492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9068332,"threshold_uncertainty_score":0.8837508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06599873717571177,"score_gpt":0.268542785267373,"score_spread":0.2025440480916613,"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."}}