{"id":"W2120817193","doi":"10.1093/bioinformatics/bts273","title":"MicrobeDB: a locally maintainable database of microbial genomic sequences","year":2012,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Simon Fraser University; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Upload; Computer science; Parsing; Genome; Bacterial genome size; Key (lock); Database; Automation; Interface (matter); World Wide Web; Biology; Programming language; Genetics; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001635545,0.001889043,0.001941145,0.004418435,0.001232553,0.003070711,0.004783496,0.001519696,0.03934084],"category_scores_gemma":[0.005647055,0.001123278,0.0008343446,0.007547941,0.0005563272,0.002996281,0.003380712,0.002194889,0.04732115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006309755,"about_ca_system_score_gemma":0.002012134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002764181,"about_ca_topic_score_gemma":0.0030045,"domain_scores_codex":[0.9992644,0.00009195808,0.00007329803,0.0002486124,0.0002217688,0.00009991861],"domain_scores_gemma":[0.9978709,0.0004386471,0.0002849346,0.0005099056,0.000301232,0.00059441],"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":[0.005109957,0.0003162806,0.007312518,0.006910322,0.0003389844,0.0007805633,0.000630171,0.002260936,0.08455941,0.009831818,0.6528351,0.2291139],"study_design_scores_gemma":[0.0005242307,0.0002317021,0.009287973,0.0006033672,0.0002455297,0.0007566361,0.0002204365,0.007215003,0.03735355,0.006394061,0.9369877,0.0001798142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0171404,0.005572187,0.1011139,0.001187932,0.0005800031,0.0003347459,0.6753739,0.1819658,0.01673112],"genre_scores_gemma":[0.02549195,0.001453371,0.07414729,0.0002776387,0.0001135279,0.0003996634,0.8851537,0.008349533,0.004613383],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03934084,"threshold_uncertainty_score":0.1316082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155662655029321,"score_gpt":0.2262320952025418,"score_spread":0.2146754686522486,"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."}}