{"id":"W2056036270","doi":"10.2202/1544-6115.1759","title":"Special Issue on Computational Statistical Methods for Genomics and Systems Biology","year":2012,"lang":"en","type":"editorial","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genomics; Computational genomics; Systems biology; Computational biology; Genome Biology; Biology; Statistical analysis; Data science; Computer science; Genome; Genetics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004511933,0.0003770909,0.000471641,0.0001534978,0.0001246897,0.00004862975,0.0002240418,0.001035737,0.00002031551],"category_scores_gemma":[0.0003702923,0.000367229,0.00004663057,0.00008524339,0.0004404043,0.000001574409,0.0001806771,0.0003070325,0.000004798268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004891042,"about_ca_system_score_gemma":0.0002127765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237056,"about_ca_topic_score_gemma":0.000004739422,"domain_scores_codex":[0.997591,0.0003403422,0.0005465054,0.0009827887,0.000104176,0.0004351658],"domain_scores_gemma":[0.9982255,0.0007747112,0.0001957478,0.0003952444,0.000196437,0.0002124313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002538624,0.0002600674,0.0001555322,0.0002566732,0.0001652948,8.446747e-7,0.00004400092,0.000168775,0.05309611,0.2423175,0.5486519,0.1546294],"study_design_scores_gemma":[0.0006338645,0.0004628115,0.0001313162,0.00001069213,0.00007016872,0.00000250081,0.00002678438,0.0007655229,0.000587419,0.01746311,0.9794625,0.0003832743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.0001433307,0.003842324,0.9463216,0.00008022605,0.0440597,0.001175166,0.003912368,0.000009357779,0.0004559269],"genre_scores_gemma":[0.003569261,0.004465499,0.4387943,0.0003632081,0.5101623,0.002912967,0.03928852,0.0001758532,0.0002680836],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5075272,"threshold_uncertainty_score":0.999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423726564726081,"score_gpt":0.3863427278049875,"score_spread":0.3721054621577267,"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."}}