{"id":"W4407189250","doi":"10.1007/978-3-031-82670-2_23","title":"Multi-agent Search-Type Problems on Polygons","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Type (biology)","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":[0.0006079235,0.001018499,0.001284427,0.0006880386,0.0007802154,0.002390172,0.001525719,0.001875164,0.006691723],"category_scores_gemma":[0.003304237,0.0006888821,0.001264229,0.001705787,0.001505356,0.002254529,0.001863323,0.002053265,0.0007118122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097004,"about_ca_system_score_gemma":0.0005185558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051489,"about_ca_topic_score_gemma":0.001696933,"domain_scores_codex":[0.9995415,0.0002041235,0.00002230469,0.00008036628,0.0001074999,0.00004424964],"domain_scores_gemma":[0.9992478,0.0005351265,0.00006983601,0.00004891476,0.0000545796,0.00004389477],"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":[0.00007501409,0.00004629618,0.0001941212,0.0002955362,0.00003723204,0.0001645257,0.0001298092,0.4585673,0.001141635,0.4923601,0.006918291,0.04007022],"study_design_scores_gemma":[0.00004232245,0.0000417259,0.0001087421,0.00006067477,0.00001453522,0.00008821647,0.00008846357,0.6304861,0.0006773393,0.3521014,0.01627824,0.00001228924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01946957,0.001668163,0.9070778,0.001003121,0.0003215299,0.0001310229,0.0002953412,0.0001364705,0.06989698],"genre_scores_gemma":[0.3567497,0.003404337,0.5611049,0.0002699616,0.0003519105,0.0004920248,0.0006247014,0.0002814961,0.07672092],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006691723,"threshold_uncertainty_score":0.02238607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104181170680093,"score_gpt":0.2888128697729929,"score_spread":0.247771058066192,"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."}}