{"id":"W4402355364","doi":"10.2139/ssrn.4951018","title":"Cops and Attacking Robbers with Cycle Constraints","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Simon Fraser University","funders":"","keywords":"Business; Computer science","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":[0.001633531,0.0004446588,0.001236508,0.001082389,0.00123842,0.002956708,0.001292035,0.002487284,0.0245863],"category_scores_gemma":[0.01281508,0.0005662941,0.0005840615,0.001144032,0.003084275,0.003067986,0.002055083,0.00148111,0.0006703815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048909,"about_ca_system_score_gemma":0.001356313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397437,"about_ca_topic_score_gemma":0.01420666,"domain_scores_codex":[0.9987121,0.0003916923,0.00005120978,0.0002426473,0.0001061875,0.0004961835],"domain_scores_gemma":[0.9906969,0.004397915,0.002453323,0.000733699,0.000404813,0.001313303],"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":[0.00024648,0.0001634249,0.01533896,0.0001184635,0.00009423515,0.0006376835,0.0006892442,0.102178,0.0004296349,0.8495644,0.008131253,0.02240814],"study_design_scores_gemma":[0.00006392525,0.00006844776,0.006219887,0.00004075623,0.00002892724,0.0001557345,0.00111028,0.1297842,0.0001384784,0.8577517,0.004607959,0.00002976077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8001365,0.0008380669,0.1070232,0.003847505,0.000115316,0.0001763456,0.0007300131,0.0001156743,0.08701736],"genre_scores_gemma":[0.9820348,0.0002362787,0.001981523,0.0000868466,0.0000542257,0.00005949171,0.0001210867,0.00002157598,0.01540407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0245863,"threshold_uncertainty_score":0.08224934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221012715378526,"score_gpt":0.2863983699631801,"score_spread":0.2741882428093948,"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."}}