{"id":"W4255623367","doi":"10.32920/ryerson.14652594.v1","title":"Wall cops and robbers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vertex (graph theory); Hypercube; Combinatorics; Graph; Computer science; Mathematics; Theoretical 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":[0.0008348305,0.00116145,0.0009313861,0.0005543528,0.001916609,0.002709116,0.001274696,0.001648969,0.01683224],"category_scores_gemma":[0.005256078,0.0005418367,0.0007527461,0.0004289939,0.003604601,0.006013355,0.003166793,0.002092781,0.001925242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441924,"about_ca_system_score_gemma":0.0009648156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814953,"about_ca_topic_score_gemma":0.003204335,"domain_scores_codex":[0.9976974,0.0009291649,0.00008232937,0.0004731732,0.0003603727,0.0004576125],"domain_scores_gemma":[0.9978162,0.0008105231,0.0002739595,0.0002440313,0.0001448673,0.0007103827],"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":[0.0005614554,0.000129088,0.001114629,0.0001762408,0.00004447804,0.0003498039,0.001052381,0.01845392,0.003930624,0.9306765,0.01398452,0.02952634],"study_design_scores_gemma":[0.000144271,0.0004165011,0.001747668,0.0001979336,0.00005407851,0.0006543454,0.002188314,0.08599096,0.005182882,0.765331,0.1379959,0.0000962191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2499027,0.00133439,0.4690779,0.004744583,0.0007677652,0.0005939991,0.0008073682,0.0009636916,0.2718077],"genre_scores_gemma":[0.8359791,0.0006608347,0.09255262,0.0009022771,0.000155855,0.0005304107,0.0006633739,0.0003722238,0.06818336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01683224,"threshold_uncertainty_score":0.0563094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797876477314936,"score_gpt":0.3040144018227216,"score_spread":0.2760356370495722,"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."}}