{"id":"W2030886449","doi":"10.1007/978-3-319-09174-7_33","title":"Fixed-parameter algorithms for scaffold filling","year":2014,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universität Duisburg-Essen; Universidade Federal do Rio de Janeiro; Université de Bordeaux; Universidad de Buenos Aires; Centre National de la Recherche Scientifique; Universidad de Chile; Università di Bologna; Universidade de Lisboa; Qatar University; Athens University of Economics and Business; Université Pierre et Marie Curie; Universität Wien; Università di Pisa; Universitat de València; Universidad de La Laguna; Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport; Universidade de Aveiro","keywords":"Genome; Multiset; Parameterized complexity; Computational biology; Algorithm; Biology; Computer science; Gene; Mathematics; Genetics; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005693401,0.0001480734,0.0001319423,0.0001073017,0.0001139037,0.00008887975,0.0005121104,0.00009028924,0.000004052257],"category_scores_gemma":[0.0002143244,0.000132878,0.00006404384,0.0002919597,0.0001686907,0.000008207477,0.0001939606,0.00006895433,0.000005521598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000221531,"about_ca_system_score_gemma":0.00005004015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006450224,"about_ca_topic_score_gemma":0.00001282288,"domain_scores_codex":[0.9986262,0.00002648917,0.000158572,0.000585799,0.0001897797,0.0004131035],"domain_scores_gemma":[0.9992867,0.00009302807,0.00004944768,0.0004060591,0.00009249584,0.0000722488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001230096,0.00004098433,0.00174995,0.0000207793,0.000009945923,8.749961e-7,0.0001109022,0.03477317,0.1610162,0.00001880945,0.00004351131,0.8022025],"study_design_scores_gemma":[0.0006054736,0.0005549631,0.001103675,0.00002298299,0.000005905409,0.00001115025,5.515171e-7,0.655275,0.3355772,0.002500198,0.004008672,0.0003342372],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1436776,0.0001136526,0.8553055,0.0001826897,0.0004788897,0.0002101971,0.000002877791,0.00001366146,0.00001492293],"genre_scores_gemma":[0.6229315,0.000004390347,0.3761016,0.0005181225,0.0004035035,0.00001703332,0.000009931755,0.000009973151,0.000003972336],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8018683,"threshold_uncertainty_score":0.5418606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456871231517695,"score_gpt":0.2603904553116907,"score_spread":0.2458217429965137,"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."}}