{"id":"W4402696811","doi":"10.48550/arxiv.2408.10452","title":"Eternally surrounding a robber","year":2024,"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":"Business","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":[0.0008565481,0.000746831,0.0007588873,0.0005470534,0.002126179,0.002322646,0.001690689,0.001535023,0.0193763],"category_scores_gemma":[0.004823922,0.0004771884,0.0006883138,0.0007734682,0.002940063,0.007473871,0.003835404,0.001752498,0.002729157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006793374,"about_ca_system_score_gemma":0.0006505341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236063,"about_ca_topic_score_gemma":0.00265176,"domain_scores_codex":[0.9985816,0.0003905863,0.00005086819,0.0004909234,0.0002245123,0.0002614611],"domain_scores_gemma":[0.9976491,0.0008221379,0.0003650501,0.0006128569,0.000211278,0.0003395992],"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":[0.0002217175,0.0000866893,0.001606277,0.0002235711,0.00003835502,0.0004059978,0.0008689502,0.03422345,0.002730129,0.9083385,0.01059387,0.04066255],"study_design_scores_gemma":[0.00004056037,0.0001542821,0.0009289928,0.0001111606,0.00005119318,0.0006065266,0.001335707,0.06244548,0.005663605,0.8250662,0.10355,0.00004629777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2265264,0.0008024471,0.6330479,0.003516999,0.0004231004,0.0001811549,0.0009991918,0.0007771957,0.1337257],"genre_scores_gemma":[0.8241609,0.0007383844,0.1178891,0.0004775782,0.0001370271,0.0001897631,0.001174264,0.000441908,0.05479098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0193763,"threshold_uncertainty_score":0.06482023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09573952555297077,"score_gpt":0.2311861016547281,"score_spread":0.1354465761017573,"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."}}