{"id":"W1970322539","doi":"10.1016/j.tcs.2008.10.005","title":"Gathering few fat mobile robots in the plane","year":2008,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":141,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Engineering and Physical Sciences Research Council","keywords":"Robot; Asynchronous communication; Mobile robot; Computer science; Plane (geometry); Artificial intelligence; Combinatorics; Mathematics; Geometry; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.001344309,0.0001222456,0.000130362,0.0001479813,0.0004458744,0.0002924493,0.003058756,0.00003237805,0.00003971893],"category_scores_gemma":[0.00003778734,0.0000793042,0.00003547247,0.001463397,0.001699279,0.0005515664,0.000613329,0.0002300269,0.00009621276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003396782,"about_ca_system_score_gemma":0.00007767962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005258614,"about_ca_topic_score_gemma":9.496126e-7,"domain_scores_codex":[0.9979109,0.0001665476,0.0002088561,0.0004687564,0.0007274841,0.0005174425],"domain_scores_gemma":[0.9988297,0.0002408788,0.00003213323,0.0006847105,0.0000736612,0.0001389153],"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":[0.000002236766,0.00006725981,0.0001438224,0.00000291343,8.026436e-7,0.00005043462,0.003225646,0.01689081,0.0001365232,0.9710054,0.00007749901,0.008396606],"study_design_scores_gemma":[0.0002344182,0.0001901113,0.001548278,0.00001828717,5.777833e-7,0.0001749823,0.00002013502,0.9716216,0.0005579641,0.02515939,0.0002986756,0.0001755824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03452335,0.00002939739,0.9589333,0.001021073,0.0002015046,0.0002573262,3.250651e-7,0.0001138107,0.004919931],"genre_scores_gemma":[0.9007551,0.0000210857,0.09817092,0.0009598405,0.0000552092,0.0000183048,3.908847e-7,0.000004099161,0.0000150151],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9547308,"threshold_uncertainty_score":0.6261066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041441354726885,"score_gpt":0.260438264394177,"score_spread":0.2400238508469081,"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."}}