{"id":"W6931388679","doi":"10.5281/zenodo.3672057","title":"BOLD &amp; mBRAVE: Purpose-Built Research Data Platforms in the Biodiversity Domain","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Barcode; Domain (mathematical analysis); Research data; Biodiversity; Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01034146,0.002449488,0.002393537,0.005150069,0.001511973,0.007640944,0.00741187,0.003309617,0.05840193],"category_scores_gemma":[0.03563079,0.003269074,0.002163077,0.005261674,0.001349032,0.009388114,0.00999443,0.006994473,0.09219989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203573,"about_ca_system_score_gemma":0.003212878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759412,"about_ca_topic_score_gemma":0.004180459,"domain_scores_codex":[0.9953046,0.0008648348,0.0004971256,0.0007390883,0.002235203,0.0003591072],"domain_scores_gemma":[0.9789893,0.007933674,0.001674727,0.00481498,0.003934845,0.00265249],"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":[0.0005279461,0.00006065709,0.0008253924,0.00142313,0.0001203165,0.0001172564,0.0002473536,0.0007375947,0.007416424,0.008800445,0.9099216,0.06980193],"study_design_scores_gemma":[0.0000885457,0.00002415452,0.0006330165,0.0003545881,0.00003428557,0.0001336503,0.0000347628,0.002043581,0.006730567,0.007145934,0.9826763,0.0001005699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.002625386,0.005519138,0.2439314,0.005499989,0.00398083,0.000434501,0.2360178,0.4700432,0.03194783],"genre_scores_gemma":[0.01239986,0.004573534,0.339711,0.005324047,0.0008222306,0.001720368,0.4616354,0.1471529,0.02666069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05840193,"threshold_uncertainty_score":0.1953739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2917448656372317,"score_gpt":0.3894434346760084,"score_spread":0.09769856903877666,"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."}}