{"id":"W1538285828","doi":"10.1371/journal.pone.0130902","title":"Identification of Candidate Adherent-Invasive E. coli Signature Transcripts by Genomic/Transcriptomic Analysis","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; University of Toronto; New York Genome Center","keywords":"Biology; Gene; Genome; In silico; Escherichia coli; Transcriptome; Genetics; Comparative genomics; Operon; Microbiology; Genomics; Gene expression; Molecular biology","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":[0.0001077794,0.0002872528,0.0003143966,0.0005835888,0.0001425842,0.0002672475,0.0001132153,0.0002327006,0.000565856],"category_scores_gemma":[0.0002600724,0.0001015982,0.0002596764,0.0005977511,0.0001302172,0.0001103108,0.0001668981,0.0002425032,0.0002967346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156635,"about_ca_system_score_gemma":0.000150698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000599627,"about_ca_topic_score_gemma":0.0007618669,"domain_scores_codex":[0.9999058,0.000008463196,0.000007641765,0.00003078468,0.00002354323,0.0000236614],"domain_scores_gemma":[0.9998176,0.00005160837,0.00004389438,0.00001202133,0.00004956375,0.00002540744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008606465,0.00001433079,0.002386919,0.00004404342,0.00000419768,0.00006144912,0.00002486169,0.00006818144,0.9959009,0.00001285536,0.00001567783,0.001380556],"study_design_scores_gemma":[0.00003409949,0.0009581316,0.3872466,0.00003991286,0.0001830982,0.001581157,0.0005980715,0.006218984,0.5991466,0.000181012,0.003783124,0.00002911281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923517,0.0003509566,0.0037903,0.00003261816,0.000006283319,0.00004616148,0.003013968,0.00003927857,0.0003687779],"genre_scores_gemma":[0.9633545,0.0008146955,0.02087454,0.0001283978,0.00002181977,0.0001531522,0.01340245,0.00004465809,0.001205724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000599627,"threshold_uncertainty_score":0.001892984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923418288964401,"score_gpt":0.2547050291676583,"score_spread":0.2154708462780143,"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."}}