{"id":"W3122720315","doi":"10.3390/a14060169","title":"Sorting by Multi-Cut Rearrangements","year":2021,"lang":"en","type":"article","venue":"Algorithms","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst; Providence Health Care","keywords":"Combinatorics; Parameterized complexity; String (physics); Multiset; Sorting; Permutation (music); Mathematics; Block (permutation group theory); Alphabet; Discrete mathematics; Algorithm; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024429,0.0006752895,0.0009588671,0.0009862488,0.0007843975,0.002230336,0.001950092,0.001597161,0.005722669],"category_scores_gemma":[0.004880975,0.0005066915,0.001285078,0.002116452,0.001109351,0.004637772,0.0016687,0.001369435,0.001004815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642147,"about_ca_system_score_gemma":0.001180794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237863,"about_ca_topic_score_gemma":0.001567233,"domain_scores_codex":[0.9984112,0.0002909572,0.0001384893,0.0006983133,0.0002410188,0.0002200017],"domain_scores_gemma":[0.9964544,0.001810836,0.0004952974,0.0008284402,0.0002232289,0.0001879008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279887,0.0005516516,0.0053537,0.001040438,0.0001842389,0.000536086,0.0006172222,0.3637608,0.04603257,0.2301606,0.01031896,0.3401638],"study_design_scores_gemma":[0.0001961018,0.0003133884,0.001453192,0.00008748255,0.00009600065,0.0008560272,0.0002823138,0.6677989,0.02983068,0.2831389,0.01588578,0.00006120741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2173422,0.0006852376,0.7683734,0.000908817,0.00009024495,0.0003058586,0.001398394,0.002439326,0.008456456],"genre_scores_gemma":[0.467566,0.0005335257,0.5198777,0.0003374838,0.00005448115,0.0002378572,0.004107628,0.0003714289,0.006913896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005722669,"threshold_uncertainty_score":0.01914424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653608025971589,"score_gpt":0.2673613106534354,"score_spread":0.2508252303937195,"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."}}