{"id":"W2805486795","doi":"","title":"Game of Cops and Robbers on Eulerian Digraphs","year":2018,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Eulerian path; Computer science; Mathematics; Pure mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007564736,0.000878406,0.001016485,0.0004888654,0.001088791,0.001796787,0.001075857,0.001198353,0.006268771],"category_scores_gemma":[0.004694311,0.0004092613,0.0006490945,0.0005370585,0.001980314,0.003070075,0.001659566,0.001493557,0.0004794368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161328,"about_ca_system_score_gemma":0.001266528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619176,"about_ca_topic_score_gemma":0.004304993,"domain_scores_codex":[0.9988877,0.0004167679,0.00007145504,0.0002577201,0.0001377926,0.000228534],"domain_scores_gemma":[0.9977142,0.001301222,0.0001675925,0.0001347008,0.0001034907,0.0005789064],"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":[0.0003946425,0.0001627579,0.00156989,0.0002052361,0.00006559015,0.0004662256,0.0006947851,0.08459684,0.00413626,0.8875914,0.004350695,0.01576576],"study_design_scores_gemma":[0.0001980304,0.0002259815,0.001188232,0.00006112912,0.0000536113,0.0003381337,0.0008552923,0.3195954,0.001980719,0.6583571,0.01709393,0.00005251118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834994,0.0004053731,0.3280359,0.002519756,0.0001842142,0.0004454282,0.0009071439,0.000218071,0.08378477],"genre_scores_gemma":[0.9083921,0.0005499536,0.06799212,0.0002935705,0.00005888423,0.0002430837,0.0005928059,0.00004987128,0.0218276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006268771,"threshold_uncertainty_score":0.02097112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153020046747411,"score_gpt":0.2347197992454331,"score_spread":0.219417794570692,"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."}}