{"id":"W1556792431","doi":"10.5555/1496770.1496877","title":"Loopless generation of multiset permutations using a constant number of variables by prefix shifts","year":2009,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Multiset; Permutation (music); Combinatorics; Mathematics; Prefix; Constant (computer programming); Discrete mathematics; Sublinear function; Set (abstract data type); Parity of a permutation; Cyclic permutation; Computer science; Symmetric group","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":[0.0007414886,0.0004456246,0.0005581522,0.0006348069,0.0005038288,0.000826701,0.0009050752,0.0004867463,0.003969918],"category_scores_gemma":[0.004340092,0.0003230676,0.0005212702,0.0008067394,0.001049344,0.003102579,0.001339626,0.0008720073,0.00120612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101672,"about_ca_system_score_gemma":0.0005092082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001705279,"about_ca_topic_score_gemma":0.0003697905,"domain_scores_codex":[0.9991655,0.0001988509,0.00007344758,0.000187986,0.0002774197,0.00009669255],"domain_scores_gemma":[0.9973718,0.001210578,0.000173555,0.0009912588,0.0002030647,0.00004967599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001019722,0.0002112567,0.001299008,0.0003656308,0.00006139714,0.0003168343,0.0005016064,0.0535996,0.06419551,0.3100701,0.005225595,0.5631337],"study_design_scores_gemma":[0.0002406739,0.0006076748,0.0005664578,0.0001185557,0.00007765865,0.0006575219,0.0001531919,0.2879134,0.1582085,0.5193891,0.03198995,0.0000773573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08259699,0.0003813477,0.9084821,0.0002823827,0.0001629938,0.0001091287,0.0001246434,0.00184783,0.006012516],"genre_scores_gemma":[0.3978491,0.0002589136,0.5946669,0.0002401014,0.0001152563,0.0002093192,0.0002989966,0.000437777,0.005923713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003969918,"threshold_uncertainty_score":0.01328069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762743695820597,"score_gpt":0.301436635641591,"score_spread":0.263809198683385,"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."}}