{"id":"W2923845987","doi":"10.1128/mra.00013-19","title":"Major Release of 161 Whole-Genome Sequences from the International <i>Pseudomonas</i> Consortium Database","year":2019,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Health Canada; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Cystic Fibrosis Canada","keywords":"Database; Genome; Computational biology; Biology; Computer science; Genetics; Gene","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":[0.001706965,0.002972765,0.002376368,0.005010199,0.001763493,0.00268635,0.001554851,0.001779439,0.01266087],"category_scores_gemma":[0.00383697,0.001120355,0.001635555,0.00982768,0.0003962007,0.001426289,0.001947563,0.002544949,0.02136389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008995805,"about_ca_system_score_gemma":0.005805193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007296976,"about_ca_topic_score_gemma":0.009194953,"domain_scores_codex":[0.9986905,0.000140561,0.0002353567,0.000321843,0.0004051939,0.0002065259],"domain_scores_gemma":[0.9978476,0.0003605129,0.0004199368,0.0002633394,0.0006857989,0.0004229187],"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":[0.007646456,0.0007217755,0.01370902,0.01673066,0.001092587,0.002361595,0.001662675,0.001984631,0.3859668,0.00250617,0.4424982,0.1231195],"study_design_scores_gemma":[0.0007142604,0.0004734842,0.05599503,0.001323752,0.001071533,0.00107547,0.0007713232,0.001608074,0.04833816,0.00183847,0.8864878,0.0003025932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01789483,0.00310126,0.005195395,0.0004578228,0.0003366795,0.0002339359,0.9639035,0.003886077,0.004990602],"genre_scores_gemma":[0.002983353,0.0006247958,0.005261474,0.00008591414,0.00002268743,0.0001141404,0.9897792,0.0003208738,0.0008077096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01266087,"threshold_uncertainty_score":0.04235482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007587135567726,"score_gpt":0.2208613346167637,"score_spread":0.2107854632610865,"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."}}