{"id":"W2120691528","doi":"10.1142/s0219720006002284","title":"COMPARATIVE GENOMICS OF TRANSCRIPTIONAL REGULATION IN YEASTS AND ITS APPLICATION TO IDENTIFICATION OF A CANDIDATE ALPHA-ISOPROPYLMALATE TRANSPORTER","year":2006,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Russian Academy of Sciences; Ludwig Institute for Cancer Research; Pew Charitable Trusts; Burroughs Wellcome Fund; Howard Hughes Medical Institute","keywords":"Biology; Start codon; Genetics; Genome; Conserved sequence; Regulator; Computational biology; Saccharomyces cerevisiae; Genomics; Gene; Peptide sequence; Messenger RNA","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":[0.000178966,0.0001347462,0.0002296356,0.0004296059,0.0001188532,0.0002160468,0.0001353905,0.0001154856,0.0004301891],"category_scores_gemma":[0.0002647892,0.0001222941,0.0002496825,0.000427182,0.0001771153,0.00009589187,0.0001389468,0.0002071569,0.0001393371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121182,"about_ca_system_score_gemma":0.0001481424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104356,"about_ca_topic_score_gemma":0.001358961,"domain_scores_codex":[0.9998959,0.00001785515,0.000005691773,0.00004254634,0.00002379009,0.0000141527],"domain_scores_gemma":[0.9998646,0.00004783043,0.00002615326,0.00001512988,0.00002077262,0.00002559419],"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":[0.0001358914,0.000009084324,0.003415677,0.00003675785,0.0000116425,0.00001960155,0.00004668044,0.0002817606,0.9912636,0.0001002732,0.00001586506,0.004663044],"study_design_scores_gemma":[0.00003096549,0.000519253,0.3923104,0.00001669848,0.00009150182,0.0007648439,0.0002619728,0.01615861,0.586275,0.0007195303,0.002825661,0.00002549105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924393,0.0004096092,0.006433036,0.00001879621,0.000001956797,0.000007422871,0.0004034459,0.00005580442,0.0002306243],"genre_scores_gemma":[0.9904199,0.0002818867,0.007662057,0.00001878507,0.000002787017,0.00002374519,0.001296871,0.00001740273,0.0002765025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00104356,"threshold_uncertainty_score":0.002074957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007871627652280947,"score_gpt":0.2403951557979113,"score_spread":0.2325235281456304,"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."}}