{"id":"W2963474241","doi":"","title":"Rank Modulation for Translocation Error Correction","year":2012,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hamming code; Permutation (music); Rank (graph theory); Error detection and correction; Fountain code; Mathematics; Hamming distance; Decoding methods; Linear code; Extension (predicate logic); Discrete mathematics; Combinatorics; Algorithm; Block code; Computer science; Physics","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":[0.0006545148,0.0004700405,0.0003559254,0.000569755,0.0005916745,0.001150048,0.0006500714,0.0008578622,0.003810499],"category_scores_gemma":[0.004060518,0.0001499314,0.0003498426,0.0008647121,0.001423567,0.001691397,0.001054337,0.001276772,0.0009824642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009135964,"about_ca_system_score_gemma":0.0007079614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005124615,"about_ca_topic_score_gemma":0.0005801376,"domain_scores_codex":[0.9994133,0.0001501793,0.0000289215,0.00007935922,0.0002342439,0.00009401429],"domain_scores_gemma":[0.9980671,0.0009203936,0.0002395946,0.0004103207,0.0002876507,0.00007490362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006440497,0.00002736832,0.0003425315,0.00008544468,0.000009135219,0.0001574462,0.0001297539,0.05096539,0.0107113,0.8978986,0.001608994,0.03799959],"study_design_scores_gemma":[0.00001859581,0.0001441009,0.0001527335,0.0000457281,0.00001650297,0.0005011133,0.00007080818,0.4053867,0.02372052,0.5569674,0.0129272,0.00004867183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09870079,0.001489177,0.8651512,0.001186176,0.0002232849,0.00008597079,0.0001847527,0.0005324346,0.03244624],"genre_scores_gemma":[0.8597356,0.00157679,0.1215608,0.0005357081,0.0002611037,0.0001482947,0.0001513128,0.0001478337,0.01588255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003810499,"threshold_uncertainty_score":0.01274735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06893063690376933,"score_gpt":0.2027382563793438,"score_spread":0.1338076194755744,"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."}}