{"id":"W1993169860","doi":"10.1093/nar/gkj098","title":"GOBASE--a database of organelle and bacterial genome information","year":2005,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Canadian Institute for Advanced Research","keywords":"GenBank; Biology; Genome; Gene; Genetics; Database; Gene Annotation; Rickettsia prowazekii; Computational biology; Computer science","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":[0.0009202987,0.001890616,0.002118618,0.01135007,0.00148502,0.003049374,0.002580801,0.001281519,0.02776215],"category_scores_gemma":[0.002619691,0.0007562991,0.0009659229,0.01297986,0.0005694355,0.00298618,0.002753486,0.00177214,0.03741734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093628,"about_ca_system_score_gemma":0.003092743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009146824,"about_ca_topic_score_gemma":0.01191692,"domain_scores_codex":[0.9993677,0.00006986443,0.00009028541,0.0001875749,0.0001965835,0.00008803698],"domain_scores_gemma":[0.9987003,0.0001888387,0.0001727502,0.0002543483,0.000423242,0.0002604946],"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":[0.0008685457,0.0001470785,0.002931994,0.005751955,0.0002242422,0.0005906897,0.0005520434,0.001646748,0.01854249,0.01063621,0.8338307,0.1242773],"study_design_scores_gemma":[0.00006069959,0.00004449431,0.0039279,0.0004087366,0.0001004468,0.0004129827,0.0001544623,0.0007984835,0.002575826,0.006712031,0.9847388,0.00006509749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009726321,0.009275531,0.02210579,0.0009263019,0.000576977,0.0002888985,0.9098566,0.02483336,0.02241016],"genre_scores_gemma":[0.004757318,0.002531986,0.01815703,0.0001736918,0.0000584822,0.0001671299,0.9691482,0.001380777,0.003625409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02776215,"threshold_uncertainty_score":0.09287363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558680908788314,"score_gpt":0.2937424818397259,"score_spread":0.2681556727518428,"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."}}