{"id":"W1994013009","doi":"10.1016/j.disc.2010.05.022","title":"On a construction of graphs with high chromatic capacity and large girth","year":2010,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Combinatorics; Mathematics; Chromatic scale; Integer (computer science); Graph; Discrete mathematics; Girth (graph theory); Edge coloring; Enhanced Data Rates for GSM Evolution; Graph power; Computer science; Line graph","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":[0.0002300561,0.0001156858,0.0001899933,0.0000944205,0.00008336746,0.00004758124,0.0001788454,0.0000495359,0.000009054126],"category_scores_gemma":[0.00004702637,0.00007852381,0.00002931804,0.0002137551,0.0001673707,0.000114289,0.0000538229,0.0001374769,0.000004711021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002348457,"about_ca_system_score_gemma":0.00001528666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166263,"about_ca_topic_score_gemma":0.00001537527,"domain_scores_codex":[0.9992187,0.00001711377,0.0002046717,0.0001816685,0.0002279925,0.0001498406],"domain_scores_gemma":[0.9991724,0.00009332208,0.0001600939,0.0004440153,0.00006383603,0.00006634012],"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":[0.000001898282,0.00005781026,0.0002172465,0.0001113205,0.00001422194,0.000001075283,0.0007713322,0.000004260898,0.002354654,0.9962465,0.0000175818,0.0002021129],"study_design_scores_gemma":[0.000555463,0.0002060102,0.0004649214,0.0001478837,0.00001957056,0.00006295423,0.00009064184,0.02340267,0.00620507,0.9686771,0.00001065726,0.0001570705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372579,0.000007276913,0.06181458,0.0001017737,0.0001008372,0.0001195436,0.000007310169,0.00006994333,0.0005208717],"genre_scores_gemma":[0.7289557,0.000001946341,0.2709913,0.00002980119,0.000001343076,0.000004173855,0.00000102339,0.00000555431,0.000009162481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2091767,"threshold_uncertainty_score":0.3202108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006859558722335785,"score_gpt":0.1984460313042129,"score_spread":0.1915864725818771,"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."}}