{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001035124,0.0002777342,0.0003277872,0.0007208445,0.0001178391,0.0000709698,0.001150993,0.0002880788,0.00007706523],"category_scores_gemma":[0.00003651424,0.0003142557,0.0001303156,0.0008264357,0.0001907463,0.0003976238,0.0001199457,0.0002455349,0.00007360201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006518624,"about_ca_system_score_gemma":0.0001184131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334898,"about_ca_topic_score_gemma":0.03546133,"domain_scores_codex":[0.9985057,0.00007189166,0.0002276549,0.000602302,0.0003184637,0.0002740228],"domain_scores_gemma":[0.9986455,0.000103773,0.0002835959,0.0006086177,0.0002196321,0.0001389003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001948165,0.001223969,0.1992538,0.001221302,0.001236834,0.00108441,0.007603109,0.0004076807,0.000437936,0.3902942,0.09363451,0.3016542],"study_design_scores_gemma":[0.001311137,0.002734237,0.007855415,0.002239486,0.0004251148,4.647778e-8,0.09641926,0.005372107,0.2157007,0.02042837,0.643958,0.00355604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304824,0.0001420432,0.004397905,0.00008304721,0.001539324,0.0003701007,0.00003411253,0.000192436,0.06275866],"genre_scores_gemma":[0.9837885,0.0001987004,0.001516572,0.00007402238,0.00007462043,7.850163e-7,0.00009015753,0.00002802018,0.01422864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5503235,"threshold_uncertainty_score":0.999931,"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."}}