{"id":"W2407166722","doi":"","title":"Decycling Bipartite Tournaments by Deleting Arcs.","year":2014,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bipartite graph; 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":[0.001033373,0.000518256,0.0008417451,0.0008405317,0.001111559,0.001908435,0.001659791,0.0008961491,0.01554123],"category_scores_gemma":[0.005538828,0.0003776678,0.0007754305,0.001333696,0.0009359898,0.00199137,0.001847046,0.002001469,0.002237415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773542,"about_ca_system_score_gemma":0.0006963634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470466,"about_ca_topic_score_gemma":0.00231091,"domain_scores_codex":[0.9989839,0.0003589065,0.00006141544,0.0002445349,0.0001539799,0.000197147],"domain_scores_gemma":[0.9971868,0.001203165,0.0002442645,0.0007791911,0.000191619,0.0003949034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006957082,0.0005498877,0.002414033,0.0005227188,0.0001424391,0.0004236963,0.0003642817,0.09458056,0.007473621,0.5792162,0.02129166,0.2923252],"study_design_scores_gemma":[0.0001723383,0.0002943733,0.001250847,0.0001553505,0.00008915737,0.0006131557,0.0002766907,0.2216518,0.005465972,0.7292772,0.04070075,0.00005244742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2081092,0.001103609,0.6700202,0.000847381,0.0005575272,0.000392413,0.001153512,0.001263375,0.1165528],"genre_scores_gemma":[0.6999661,0.0007604224,0.2330288,0.0006189222,0.000152264,0.0003041769,0.001632364,0.0003842532,0.06315264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01554123,"threshold_uncertainty_score":0.05199057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089062656610962,"score_gpt":0.3474971219772353,"score_spread":0.3066064954111256,"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."}}