{"id":"W4298210941","doi":"10.1007/978-3-031-02008-7_3","title":"Gathering and Convergence","year":2012,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on distributed computing theory","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Rendezvous; Robot; Computer science; Anonymity; Convergence (economics); Point (geometry); Mobile robot; Synchronization (alternating current); Adversary; Homing (biology); Theoretical computer science; Distributed computing; Artificial intelligence; Mathematics; Computer security; Engineering; Computer network; Geometry","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":[0.002332213,0.00110622,0.001185205,0.003134173,0.005926626,0.006640122,0.001787874,0.001850194,0.07559212],"category_scores_gemma":[0.007007932,0.0007011139,0.001339582,0.002386235,0.005419513,0.01106032,0.008546395,0.004138611,0.01699317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002711205,"about_ca_system_score_gemma":0.001780664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015077,"about_ca_topic_score_gemma":0.001515319,"domain_scores_codex":[0.9979048,0.0006847479,0.0001097802,0.0005236545,0.0005258884,0.000251115],"domain_scores_gemma":[0.9978583,0.0006918361,0.0001031042,0.0007031889,0.000449473,0.0001939747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001597754,0.00001558572,0.0000632344,0.00005392697,0.000006003021,0.00003222249,0.0009274477,0.0003171843,0.0002024466,0.9649419,0.009867353,0.02355676],"study_design_scores_gemma":[0.000009360942,0.00002008596,0.0001560656,0.0001228934,0.000008666286,0.0000816126,0.0009138404,0.001142298,0.0005302084,0.8610085,0.1359946,0.00001173339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006066484,0.001396839,0.09064162,0.003105415,0.0007461476,0.0001559103,0.0002242121,0.0003439232,0.8973194],"genre_scores_gemma":[0.2684674,0.002412391,0.05758473,0.0009864905,0.0008480104,0.0006386426,0.001065059,0.001210068,0.6667871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07559212,"threshold_uncertainty_score":0.2528809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736741323199327,"score_gpt":0.251215567287363,"score_spread":0.2338481540553697,"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."}}