{"id":"W2963114728","doi":"10.1016/j.ic.2016.09.005","title":"Mutual visibility by luminous robots without collisions","year":2016,"lang":"en","type":"article","venue":"Information and Computation","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Visibility; Robot; Computer science; Convergence (economics); Computer vision; Plane (geometry); Artificial intelligence; Point (geometry); Topology (electrical circuits); Mathematics; Physics; Geometry; Optics; Combinatorics; Economics","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":[0.0002418674,0.0000787512,0.00008015567,0.0000953558,0.0001537161,0.0002405541,0.0001527574,0.00004455107,0.00001487011],"category_scores_gemma":[0.00005707245,0.00005610393,0.00001863652,0.0001952314,0.00004128204,0.002708924,0.00007988635,0.00004148902,0.0001384827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003511434,"about_ca_system_score_gemma":0.00005186162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008980813,"about_ca_topic_score_gemma":0.000001615647,"domain_scores_codex":[0.9991816,0.00005069223,0.0002760012,0.0001246637,0.0002313189,0.0001356721],"domain_scores_gemma":[0.9994019,0.00007357955,0.0001035468,0.0001350685,0.0001846876,0.0001012319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000183458,0.00006721608,0.004740661,0.00002389,0.00001244648,4.045158e-7,0.002849367,0.005940105,0.00029732,0.03142291,0.009286766,0.9453406],"study_design_scores_gemma":[0.001185607,0.0001225923,0.007145034,0.00002449639,0.000002211328,0.00001142297,0.00005672436,0.97839,0.000336116,0.002646806,0.009887941,0.0001910471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02118596,0.00001222879,0.9746259,0.001693934,0.0001047622,0.000202242,0.000006559826,0.0001670745,0.002001274],"genre_scores_gemma":[0.9723319,0.00003259885,0.0267638,0.0006398954,0.00001000514,0.00001314651,0.00002671305,0.000002609055,0.0001793701],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9724499,"threshold_uncertainty_score":0.2319668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127036894534556,"score_gpt":0.2644667625921533,"score_spread":0.2517630731386977,"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."}}