{"id":"W4313483988","doi":"10.48550/arxiv.2301.00434","title":"Cops and robbers pebbling in graphs","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Merge (version control); Security token; Graph; Computer science; Combinatorics; Theoretical computer science; Discrete mathematics; Mathematics; Computer network; Parallel computing","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":[0.0009306499,0.0009860049,0.00119094,0.001637987,0.002221192,0.002733931,0.001789248,0.001678333,0.009790162],"category_scores_gemma":[0.009550491,0.0007275112,0.0007043902,0.001944633,0.004866988,0.01088952,0.002977723,0.003433893,0.001295619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982912,"about_ca_system_score_gemma":0.0008232418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317112,"about_ca_topic_score_gemma":0.002831606,"domain_scores_codex":[0.9986284,0.0002939972,0.00005320849,0.000430315,0.000299071,0.0002950207],"domain_scores_gemma":[0.9917528,0.005601735,0.0006468628,0.00099078,0.0004007782,0.0006071205],"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":[0.0001182674,0.00004867026,0.001171274,0.0002467382,0.00002215945,0.0001962809,0.000547868,0.03047473,0.002553491,0.9267104,0.005729379,0.03218072],"study_design_scores_gemma":[0.00001571326,0.00003915618,0.0005288459,0.00004677576,0.00002005009,0.0002892516,0.0002961014,0.05002804,0.002215742,0.9319379,0.01455775,0.0000246302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2990955,0.005790622,0.606025,0.004237558,0.0003212832,0.000131615,0.0004210861,0.001102119,0.08287506],"genre_scores_gemma":[0.8769573,0.002820594,0.09626226,0.0007299008,0.0003983147,0.0001723785,0.0004873083,0.000472547,0.02169937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009790162,"threshold_uncertainty_score":0.03275132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262845470256908,"score_gpt":0.2297673372389935,"score_spread":0.1034827902133028,"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."}}