{"id":"W100234480","doi":"","title":"Partitioning a strong tournament into k cycles.","year":2004,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tournament; Mathematics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007608051,0.0005574673,0.0005834272,0.0006114586,0.0008771005,0.001622098,0.001015316,0.000792768,0.0103452],"category_scores_gemma":[0.003193629,0.0002586248,0.0007049456,0.0009311466,0.0005155494,0.00138785,0.00111046,0.0005970946,0.00104289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007024291,"about_ca_system_score_gemma":0.0009368454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489571,"about_ca_topic_score_gemma":0.002709321,"domain_scores_codex":[0.9991701,0.0002739505,0.00005133867,0.000180408,0.00008847133,0.0002357182],"domain_scores_gemma":[0.9986531,0.0005599881,0.0001284724,0.0002674267,0.0001198892,0.0002711864],"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":[0.002085724,0.0009015802,0.009692417,0.0008778457,0.0004106525,0.0004569474,0.0003106767,0.3660159,0.02763782,0.1910908,0.02737972,0.3731398],"study_design_scores_gemma":[0.0003466337,0.001016225,0.003842552,0.0001017137,0.0001941778,0.0004119939,0.0003326148,0.7276726,0.007907312,0.2367971,0.0213203,0.00005670054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4556986,0.0009896924,0.4850236,0.0007907898,0.0003060016,0.0007510926,0.0007991925,0.0007242301,0.05491688],"genre_scores_gemma":[0.8768242,0.0002963689,0.1071238,0.0002137767,0.00007881087,0.000208191,0.0008163095,0.0001151396,0.01432341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0103452,"threshold_uncertainty_score":0.03460813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0721396299871602,"score_gpt":0.3668451638759334,"score_spread":0.2947055338887732,"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."}}