{"id":"W1588217500","doi":"10.37236/2639","title":"Metric Dimension for Random Graphs","year":2013,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research; National Science Foundation","keywords":"Metric dimension; Combinatorics; Mathematics; Vertex (graph theory); Dimension (graph theory); Packing dimension; Graph; Discrete mathematics; Metric (unit); Random graph; Minkowski–Bouligand dimension; Chordal graph; 1-planar graph","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001819593,0.0001318012,0.0002598322,0.0002846039,0.0002145824,0.0001168868,0.001028405,0.00005300035,0.000003431396],"category_scores_gemma":[0.000183779,0.00007734321,0.0002210743,0.001067468,0.00003936643,0.0003638247,0.00007914743,0.0003840514,0.00001324361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007541386,"about_ca_system_score_gemma":0.0002099536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008999205,"about_ca_topic_score_gemma":3.493123e-7,"domain_scores_codex":[0.9983733,0.0001202251,0.0004389278,0.0001321626,0.0004163698,0.0005190169],"domain_scores_gemma":[0.9979149,0.0005530646,0.0004081026,0.0003692942,0.0006590566,0.00009557977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001824659,0.00007549295,0.00005154088,0.000004507628,0.00005286435,5.582942e-7,0.00007987514,0.0001286835,0.0008012035,0.9944354,0.002507013,0.001844667],"study_design_scores_gemma":[0.002230198,0.0006777635,0.00006632039,0.00001307441,0.00003270206,0.00008360064,0.00002021699,0.004911378,0.002044093,0.988647,0.0011728,0.0001008001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4002733,0.01594268,0.5749079,0.005950332,0.001978229,0.0006420271,2.479426e-7,0.00007606761,0.0002292229],"genre_scores_gemma":[0.9986233,0.0004558061,0.0005453469,0.0001981322,0.00001273604,0.00001088709,2.150046e-7,0.00001058324,0.0001430179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.59835,"threshold_uncertainty_score":0.3153965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006990342412215714,"score_gpt":0.2153006784157689,"score_spread":0.2083103360035532,"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."}}