{"id":"W4232294892","doi":"10.32920/ryerson.14664981.v1","title":"Cops, robbers, and barricades","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Graph; Path (computing); Combinatorics; Mathematics; Computer science; Set (abstract data type); Discrete mathematics; Computer network; Programming language","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":[0.0005473029,0.0008480291,0.0008764802,0.0009368423,0.001610132,0.003071336,0.001798026,0.001311526,0.008427198],"category_scores_gemma":[0.005320451,0.0006288832,0.0007931708,0.001048944,0.003343627,0.004690056,0.001859828,0.002197946,0.0007886224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562339,"about_ca_system_score_gemma":0.001160407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008181345,"about_ca_topic_score_gemma":0.01009479,"domain_scores_codex":[0.9982783,0.0003502183,0.0001141661,0.0005348549,0.0003865794,0.0003360281],"domain_scores_gemma":[0.9975728,0.0009468425,0.0003475716,0.0004911395,0.000216798,0.0004247711],"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":[0.0001505943,0.00005925919,0.001036013,0.000140628,0.00003931591,0.0001930257,0.0002864278,0.03665065,0.00240685,0.9305976,0.005748152,0.02269148],"study_design_scores_gemma":[0.00005790223,0.0001009133,0.001519688,0.00007893387,0.00004301418,0.0004086108,0.0003182885,0.096186,0.003059497,0.8672334,0.03092933,0.00006446894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.282757,0.001177058,0.5462598,0.001655961,0.0002586864,0.0004593108,0.001383478,0.0008691319,0.1651796],"genre_scores_gemma":[0.8578274,0.0006899133,0.1098016,0.0003965751,0.00008588439,0.0003062593,0.001133773,0.0002364163,0.02952227],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008427198,"threshold_uncertainty_score":0.0281918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463256918237982,"score_gpt":0.2892691762613687,"score_spread":0.2546366070789889,"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."}}