{"id":"W2951573614","doi":"10.48550/arxiv.1704.05655","title":"Characterizations and algorithms for generalized Cops and Robbers games","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Algorithm; Computer science; Mathematics","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":[0.002132076,0.002271696,0.001730732,0.002225146,0.001521142,0.005956821,0.004287294,0.002191834,0.008827987],"category_scores_gemma":[0.01046647,0.001089166,0.002080963,0.002968553,0.002554556,0.01186748,0.004165036,0.004699664,0.001965044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003484905,"about_ca_system_score_gemma":0.002252065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003597552,"about_ca_topic_score_gemma":0.004245177,"domain_scores_codex":[0.9962573,0.0009063471,0.0002755911,0.0009828679,0.0008738377,0.0007039768],"domain_scores_gemma":[0.9952615,0.002473699,0.0005465242,0.000866731,0.0005311957,0.0003204689],"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":[0.0000980986,0.000128186,0.0007104457,0.0002947476,0.00005332155,0.00008787835,0.0005783708,0.04545525,0.001373377,0.8964803,0.005842983,0.04889717],"study_design_scores_gemma":[0.00004018292,0.00003237594,0.0001822953,0.00005272634,0.00002652091,0.00009382559,0.0001566891,0.125136,0.0009071666,0.8652049,0.008138178,0.00002902011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03285507,0.0004949072,0.9506865,0.000757407,0.00008727982,0.0003817112,0.0005883556,0.000775266,0.01337345],"genre_scores_gemma":[0.2756998,0.001081756,0.7026843,0.0005800241,0.0002594142,0.001169124,0.003181917,0.0008704005,0.01447321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008827987,"threshold_uncertainty_score":0.02953255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143097118518677,"score_gpt":0.2499193171167826,"score_spread":0.1356096052649149,"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."}}