{"id":"W7027921559","doi":"","title":"Detecting operons from RNA-seq data
\\nusing a convolutional and recurrent neural
\\nnetwork architecture","year":2023,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Operon; Genome; Representation (politics); Gene; Function (biology); Convolutional neural network; Bacterial genome size; Model organism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009272845,0.0005556765,0.000570874,0.0007958913,0.00202872,0.0002680356,0.002072749,0.001020223,0.0000306134],"category_scores_gemma":[0.0008011651,0.000683277,0.0002196462,0.0009736547,0.0004436718,0.00008345542,0.002161506,0.002146103,0.00002622931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003881575,"about_ca_system_score_gemma":0.001138858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00542886,"about_ca_topic_score_gemma":0.007593233,"domain_scores_codex":[0.9950117,0.001219239,0.0004007625,0.00144108,0.001055303,0.0008718942],"domain_scores_gemma":[0.996845,0.0004147344,0.0004162068,0.001275008,0.000605053,0.0004440137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.09742215,0.0016865,0.01361721,0.004340884,0.0110978,0.0115765,0.01887451,0.02544796,0.468691,0.001598262,0.2295554,0.1160918],"study_design_scores_gemma":[0.01443496,0.002831274,0.008070864,0.00169103,0.001747286,0.0001661468,0.02942414,0.02508176,0.01378305,0.0002775,0.8976865,0.004805497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714864,0.0002614425,0.0002880112,0.00009789116,0.01289192,0.0008693525,0.0005917536,0.0001627364,0.01335046],"genre_scores_gemma":[0.7761548,0.002009255,0.002942192,0.00004367656,0.04153229,0.000003599388,0.04085694,0.0004191466,0.1360382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6681311,"threshold_uncertainty_score":0.9995618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942130493402596,"score_gpt":0.283524040901655,"score_spread":0.2541027359676291,"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."}}