{"id":"W2944628792","doi":"10.5479/10088/96518","title":"Data Standards for BARCODE Records in INSDC (BRIs)","year":2012,"lang":"en","type":"report","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Barcode; Computer science; Database; Operating system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08319809,0.001351852,0.001332562,0.01416014,0.00354478,0.009312537,0.007772276,0.005955942,0.0236245],"category_scores_gemma":[0.1496711,0.001513295,0.001552623,0.01938523,0.001886843,0.006835917,0.004895075,0.00532425,0.03354882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309294,"about_ca_system_score_gemma":0.05945401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1106348,"about_ca_topic_score_gemma":0.08138091,"domain_scores_codex":[0.8874372,0.02420545,0.019017,0.004376602,0.05892852,0.006035147],"domain_scores_gemma":[0.6760337,0.04078457,0.01852193,0.05733474,0.1995616,0.007763432],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000508801,0.0008731118,0.01256496,0.001226081,0.00006702643,0.0001676993,0.001263634,0.003620712,0.004136215,0.08985762,0.7698998,0.1158143],"study_design_scores_gemma":[0.0001066211,0.0001602506,0.02274583,0.001244158,0.00004867362,0.0001339189,0.0009543561,0.002184333,0.0114044,0.007073247,0.9538191,0.0001251652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01837489,0.00112838,0.1789104,0.01188082,0.00309984,0.01163124,0.3919616,0.01865273,0.3643602],"genre_scores_gemma":[0.03076832,0.001201087,0.3135203,0.004006821,0.0004190687,0.00955217,0.5159553,0.003890749,0.1206863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9168019,"threshold_uncertainty_score":0.4399988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7631249978993779,"score_gpt":0.585327695359493,"score_spread":0.1777973025398849,"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."}}