{"id":"W2803183763","doi":"10.3897/biss.2.25647","title":"Management of Molecular Data in DINA with SeqDB","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Workflow; Metadata; Computer science; Data science; Data management; Task (project management); Agile software development; Suite; Software; Set (abstract data type); World Wide Web; Engineering management; Database; Software engineering; Systems engineering; Engineering","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":[0.01533142,0.002156064,0.002462657,0.006444926,0.002984381,0.01412256,0.00822217,0.001520478,0.03535663],"category_scores_gemma":[0.02658956,0.001946794,0.002449709,0.00671317,0.002336693,0.009282079,0.01004846,0.005251149,0.0333574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004738019,"about_ca_system_score_gemma":0.008195189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128971,"about_ca_topic_score_gemma":0.008611639,"domain_scores_codex":[0.9922989,0.001183395,0.001426357,0.002279136,0.002242945,0.0005692627],"domain_scores_gemma":[0.9826913,0.00382908,0.001117113,0.005690147,0.004530956,0.00214134],"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":[0.002374844,0.0004765032,0.01182624,0.002926063,0.0005394496,0.001548604,0.003143656,0.007320388,0.0143229,0.05622669,0.7435243,0.1557704],"study_design_scores_gemma":[0.0002090164,0.00006779528,0.002683759,0.0004365214,0.0001361703,0.0003366257,0.0008101129,0.02129565,0.01775455,0.03624573,0.919766,0.0002580699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.008311976,0.001869438,0.2972801,0.003662861,0.00258367,0.001600212,0.1711536,0.4541433,0.05939489],"genre_scores_gemma":[0.05574084,0.001915035,0.3205025,0.006815781,0.0005839008,0.003870245,0.5354965,0.05011521,0.02495995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03535663,"threshold_uncertainty_score":0.1182798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144085814425997,"score_gpt":0.2533114538092071,"score_spread":0.2389028723666074,"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."}}