{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001730085,0.0001764661,0.0002212363,0.00006595441,0.00006418346,0.0007465656,0.0009702123,0.000187726,0.0001483779],"category_scores_gemma":[0.00009155616,0.000162569,0.00006445413,0.0001256101,0.00008638942,0.000203277,0.003496555,0.000373933,0.00004502441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003062566,"about_ca_system_score_gemma":0.0001489498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002619837,"about_ca_topic_score_gemma":0.00008644465,"domain_scores_codex":[0.998628,0.00005887558,0.0002330362,0.0006588172,0.0002125319,0.0002087497],"domain_scores_gemma":[0.9988251,0.0001134032,0.00007254718,0.000778263,0.0001010688,0.0001095904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003962059,0.0001427439,0.005563107,0.0002027026,0.0001823023,0.0002696174,0.01134358,0.00283911,0.001114998,0.4180746,0.02048888,0.5397744],"study_design_scores_gemma":[0.0001129926,0.0001217281,0.003893872,0.000601839,0.00005752891,0.0001354484,0.002765283,0.6104097,0.1213652,0.2263037,0.0315543,0.002678446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01832271,0.001973524,0.9618067,0.002927441,0.001113507,0.0001605077,0.00000106756,0.0003229699,0.01337156],"genre_scores_gemma":[0.7730237,0.0004206651,0.2239022,0.0007466318,0.0001150692,0.00001918397,0.000003847887,0.00001167265,0.001757044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.754701,"threshold_uncertainty_score":0.719915,"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."}}