{"id":"W2012220350","doi":"10.1016/j.disc.2005.12.038","title":"A note on <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:mi>k</mml:mi></mml:math>-cop, <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si2.gif\" overflow=\"scroll\"><mml:mi>l</mml:mi></mml:math>-robber games on graphs","year":2006,"lang":"lv","type":"article","venue":"Discrete Mathematics","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Algorithm; Mathematics; Computer science; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.003965999,0.003100805,0.001879612,0.001125471,0.003063371,0.004021668,0.005925415,0.003377648,0.0007009272],"category_scores_gemma":[0.002381185,0.003794758,0.003703099,0.002517679,0.002836529,0.002931972,0.003805705,0.003663172,0.0167459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108338,"about_ca_system_score_gemma":0.001909376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784417,"about_ca_topic_score_gemma":0.0008754338,"domain_scores_codex":[0.9792883,0.0006816852,0.005070135,0.004323825,0.005766848,0.004869214],"domain_scores_gemma":[0.9826055,0.003671579,0.004615946,0.006944554,0.0005670721,0.001595323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009290897,0.001639206,0.00002112148,0.002040753,0.00124564,0.001670525,0.008977439,0.00707832,0.002161701,0.9623021,0.008225955,0.003708164],"study_design_scores_gemma":[0.00162329,0.002566365,0.00005957909,0.003929373,0.001340788,0.0009725376,0.002605557,0.9064122,0.05223887,0.01676644,0.008291381,0.003193618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577441,0.001335454,0.01119473,0.001402905,0.005014862,0.0005950745,0.000683383,0.001314411,0.02071511],"genre_scores_gemma":[0.9662243,0.001309922,0.02215593,0.003161497,0.002641865,0.001297196,0.0006084883,0.001369839,0.00123095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455357,"threshold_uncertainty_score":0.9998772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307160409932155,"score_gpt":0.261477874880912,"score_spread":0.2384062707815904,"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."}}