{"id":"W2081200190","doi":"10.1002/cfg.193","title":"Microarray analysis of bacterial gene expression: towards the regulome","year":2002,"lang":"en","type":"article","venue":"Comparative and Functional Genomics","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"European Commission; Wellcome Trust; Wellcome; GlaxoSmithKline","keywords":"Gene; Operon; Biology; Microarray analysis techniques; Regulator; Mutant; Genetics; Computational biology; Gene expression; Promoter; Microarray; DNA microarray","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002132635,0.0008333566,0.001391544,0.001601007,0.0004947666,0.001522077,0.000892113,0.001142377,0.0007659828],"category_scores_gemma":[0.001607434,0.0007214064,0.0006159085,0.001671084,0.001367306,0.001975077,0.0008429278,0.003725804,0.001455489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008679992,"about_ca_system_score_gemma":0.0004755129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002797132,"about_ca_topic_score_gemma":0.0003218361,"domain_scores_codex":[0.9987206,0.0004807466,0.00006768489,0.0002042915,0.0004514192,0.00007517143],"domain_scores_gemma":[0.9991935,0.0003015711,0.0000848616,0.0001045555,0.0002440191,0.00007152097],"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":[0.0001285483,0.00006392361,0.0005179484,0.0006351855,0.00002197454,0.0000468913,0.00009559133,0.0003621243,0.9641681,0.006850874,0.000672789,0.02643608],"study_design_scores_gemma":[0.00005081333,0.0005335076,0.01227298,0.0003652257,0.00008216681,0.0008892267,0.0002625902,0.01642752,0.846066,0.04355308,0.07936209,0.0001347103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0862639,0.01995264,0.8805219,0.004204235,0.0007154752,0.0004084621,0.001528674,0.001600602,0.004804151],"genre_scores_gemma":[0.1291602,0.02722758,0.829397,0.002743043,0.000548503,0.001102368,0.00298497,0.0003379855,0.006498383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002132635,"threshold_uncertainty_score":0.01127863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127271846433221,"score_gpt":0.237525177134696,"score_spread":0.1962524586703638,"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."}}