{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119053,0.00006656555,0.00005486549,0.00002111338,0.00008680642,0.000005012414,0.00006466482,0.00009474739,0.000007326073],"category_scores_gemma":[0.00002835483,0.00006586652,0.00006493039,0.00008365537,0.000022705,0.000008616561,0.00001598069,0.0000302469,0.000007113505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000133636,"about_ca_system_score_gemma":0.000008524785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007079087,"about_ca_topic_score_gemma":0.000007120927,"domain_scores_codex":[0.999567,0.00003026403,0.00006035504,0.0001771296,0.00001395811,0.0001512375],"domain_scores_gemma":[0.9997551,0.00001294186,0.00003916645,0.00009907014,0.00004597402,0.00004772711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009883159,0.0003927971,0.07486954,0.00003773762,0.0001170588,0.000001459746,0.0001500689,0.06986776,0.7927524,0.01161968,0.002117828,0.04708537],"study_design_scores_gemma":[0.004231908,0.001237717,0.1016975,0.00003774671,0.0001572981,0.00001703534,0.0004916709,0.6056628,0.2212446,0.002500329,0.06156526,0.001156086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7066095,0.0000357041,0.2926323,0.00001722111,0.0002572972,0.0001025021,0.000001819088,0.00001531029,0.0003283023],"genre_scores_gemma":[0.9986821,0.0000183291,0.0001933751,0.00005635544,0.000222829,6.831668e-7,0.00008326673,0.000005405928,0.0007376623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5715078,"threshold_uncertainty_score":0.2685958,"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."}}