{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001046662,0.0005358303,0.0004690779,0.00143377,0.0003943456,0.0007888984,0.003971732,0.0003289574,0.00004873757],"category_scores_gemma":[0.0001412302,0.0004754431,0.0001325207,0.001287221,0.0005953855,0.0004203892,0.001859339,0.001249926,0.0001849119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000392576,"about_ca_system_score_gemma":0.00132918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003267167,"about_ca_topic_score_gemma":0.00005971075,"domain_scores_codex":[0.9954517,0.00007850464,0.0005149747,0.001763207,0.001310503,0.0008811211],"domain_scores_gemma":[0.9969956,0.0004076377,0.0001465692,0.001686824,0.0004753018,0.0002880765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008288038,0.0001343417,0.00003703724,0.00009939696,0.00002244058,0.00007036211,0.001088942,0.5000366,0.0001651047,0.05223247,0.000256014,0.445849],"study_design_scores_gemma":[0.0003770209,0.0003243726,0.00005162338,0.0006465859,0.000003922991,0.00001341696,1.294717e-7,0.9794501,0.0005003514,0.01216128,0.005900895,0.0005702894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000006128672,0.0002676559,0.9852619,0.002557468,0.001884912,0.000784623,0.000006350946,0.0002589574,0.00897204],"genre_scores_gemma":[0.01878739,0.0003292778,0.9594827,0.006312104,0.0002918372,0.00002311175,0.0000185597,0.00005722355,0.01469774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4794135,"threshold_uncertainty_score":0.9997697,"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."}}