{"id":"W2245527669","doi":"10.1007/978-3-319-19662-6_14","title":"Rendezvous of Many Agents with Different Speeds in a Cycle","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Rendezvous; Generalization; Combinatorics; Domain (mathematical analysis); Mathematics; Computer science; Discrete mathematics; Algorithm; Physics; Mathematical analysis","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":[0.0005080448,0.0007379885,0.0009184854,0.0008644892,0.001858623,0.001409463,0.002010084,0.001331223,0.01103097],"category_scores_gemma":[0.002737637,0.0006556432,0.0008100643,0.0008176744,0.001338252,0.002541665,0.003158779,0.001064818,0.001974655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005690031,"about_ca_system_score_gemma":0.0006284314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193967,"about_ca_topic_score_gemma":0.002070516,"domain_scores_codex":[0.9994375,0.00008994203,0.00002662751,0.0001771791,0.0001431136,0.0001256322],"domain_scores_gemma":[0.9991397,0.0002236738,0.00006931716,0.0003156145,0.0001053833,0.0001462768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002663201,0.0002687758,0.003318851,0.0005378569,0.0004734773,0.001378472,0.001724875,0.2368103,0.05497944,0.4734846,0.008582156,0.215778],"study_design_scores_gemma":[0.0004386981,0.0006752221,0.0014821,0.0001454895,0.000217264,0.001096327,0.001276244,0.5671646,0.03467134,0.3160198,0.0766195,0.0001935267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4365416,0.001273772,0.46396,0.0007507862,0.0005994181,0.0003554959,0.0002986882,0.001965619,0.09425463],"genre_scores_gemma":[0.8580254,0.0004476555,0.09770635,0.0001192545,0.00007064225,0.0002298311,0.000285007,0.000343667,0.04277213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01103097,"threshold_uncertainty_score":0.03690225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558802351668162,"score_gpt":0.2711906213641495,"score_spread":0.2356025978474678,"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."}}