{"id":"W2029278215","doi":"10.3390/a1010002","title":"Impact of Locality on Location Aware Unit Disk Graphs","year":2008,"lang":"en","type":"article","venue":"Algorithms","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Locality; Unit disk graph; Dominating set; Computer science; Vertex (graph theory); Vertex cover; Connected dominating set; Unit disk; Set (abstract data type); Constant (computer programming); Wireless network; Set cover problem; Cover (algebra); Approximation algorithm; Maximal independent set; Theoretical computer science; Wireless; Graph; Algorithm; Combinatorics; Mathematics; Chordal graph; 1-planar graph; 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":[0.0002178843,0.0002078997,0.0002682698,0.0002211043,0.0002316474,0.00003233712,0.0008970494,0.00008140451,0.00003264333],"category_scores_gemma":[0.00003787305,0.0001779145,0.0002334723,0.00139073,0.0002438911,0.0003529431,0.0001681016,0.000207959,0.00004918929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005030561,"about_ca_system_score_gemma":0.0001534082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006124869,"about_ca_topic_score_gemma":0.000009858572,"domain_scores_codex":[0.9983836,0.00009738073,0.0003207097,0.0004176496,0.000457805,0.0003228685],"domain_scores_gemma":[0.9984139,0.0001405858,0.0001420033,0.0009125085,0.0002491947,0.000141765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001056472,0.00340413,0.1069499,0.0001318819,0.0005650177,0.0003447134,0.004149564,0.01351211,0.0002005747,0.1762276,0.005305628,0.6891033],"study_design_scores_gemma":[0.001136129,0.001424577,0.6143746,0.00009528903,0.00001741304,0.0001974083,0.00004750951,0.3330635,0.001476964,0.04686038,0.0006168758,0.0006893724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2161457,0.0001414036,0.7814502,0.0001835012,0.000463505,0.0002345126,0.00003454091,0.0002455591,0.001101079],"genre_scores_gemma":[0.9872472,0.00005803342,0.01243433,0.00007913321,0.00006092673,0.000009830795,0.00001479574,0.00001079431,0.0000849274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7711015,"threshold_uncertainty_score":0.7255142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05234068564554768,"score_gpt":0.3062424421819493,"score_spread":0.2539017565364017,"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."}}