{"id":"W3000916183","doi":"10.1016/j.dam.2020.08.007","title":"The threshold dimension of a graph","year":2020,"lang":"en","type":"preprint","venue":"Discrete Applied Mathematics","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; Mathematics; Metric dimension; Vertex (graph theory); Graph; Discrete mathematics; Dimension (graph theory); Bound graph; Graph power; Line graph; Pathwidth","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":[0.0005330999,0.0003548888,0.0005372587,0.00008643688,0.0002090269,0.0002054095,0.001927603,0.0002062659,0.000002361587],"category_scores_gemma":[0.00004550746,0.0002284017,0.0002543752,0.0003532074,0.0001946222,0.00004138442,0.002735603,0.0005557553,0.00003370175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001239323,"about_ca_system_score_gemma":0.00009187449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000514882,"about_ca_topic_score_gemma":0.000001382635,"domain_scores_codex":[0.9976571,0.00001974352,0.000755602,0.0005781616,0.0006636039,0.0003257819],"domain_scores_gemma":[0.9969517,0.0002407066,0.0006438392,0.00192165,0.000112808,0.0001292785],"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":[0.000004862232,0.0000452424,0.000001714652,0.000343577,0.00007028633,0.000002326796,0.001426016,0.0004477459,0.005198816,0.9903957,0.001390153,0.0006735148],"study_design_scores_gemma":[0.0001718744,0.00002725112,0.000004701018,0.0001708117,0.00004678916,0.000002186078,0.0001121675,0.04351779,0.006324202,0.9491975,0.0001643022,0.0002603693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02804438,0.00261927,0.9177582,0.006429825,0.00161251,0.00281126,0.0000457408,0.001185837,0.03949302],"genre_scores_gemma":[0.741708,0.0002676574,0.2574764,0.0002727146,0.00001832758,0.0001325824,0.00001963831,0.00005089596,0.0000537811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7136637,"threshold_uncertainty_score":0.9313949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559084689143243,"score_gpt":0.2483698097249624,"score_spread":0.22277896283353,"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."}}