{"id":"W859641926","doi":"10.1016/j.csbj.2015.06.002","title":"The power of operon rearrangements for predicting functional associations","year":2015,"lang":"en","type":"review","venue":"Computational and Structural Biotechnology Journal","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Operon; Gene; Biology; Computational biology; Genetics; Evolutionary biology; Escherichia coli","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":[0.001393223,0.001116834,0.00141979,0.003061099,0.0002740954,0.001404954,0.001613865,0.001023311,0.002625849],"category_scores_gemma":[0.00459524,0.0005535904,0.0009233491,0.002413725,0.0007256005,0.002053348,0.000817662,0.001297594,0.002795182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007455152,"about_ca_system_score_gemma":0.0009880606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145275,"about_ca_topic_score_gemma":0.0009704058,"domain_scores_codex":[0.9994799,0.0001233527,0.00005074235,0.0001782387,0.0001400206,0.0000277223],"domain_scores_gemma":[0.9977911,0.001573223,0.0002066118,0.00009453636,0.0002927512,0.00004181604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005187232,0.00002709883,0.001878962,0.01322787,0.0002108022,0.000280299,0.0001134926,0.005335053,0.003448179,0.01525232,0.01387796,0.946296],"study_design_scores_gemma":[0.00002130876,0.0001767558,0.006363077,0.009203976,0.0007208093,0.003523856,0.0002516636,0.0100989,0.007861421,0.04003424,0.9215447,0.0001991784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001248492,0.9765369,0.01721826,0.0009033185,0.0005307625,0.00002140378,0.0004113534,0.0002476021,0.002881817],"genre_scores_gemma":[0.01528185,0.9642846,0.01729568,0.0004222177,0.0004739212,0.00006143785,0.0009707645,0.00007216704,0.001137383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003061099,"threshold_uncertainty_score":0.008784354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582881969181329,"score_gpt":0.2938656013167804,"score_spread":0.2680367816249671,"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."}}