{"id":"W2963101942","doi":"","title":"A note on Erdös-Faber-Lovász Conjecture and edge coloring of complete graphs","year":2016,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Conjecture; Combinatorics; Enhanced Data Rates for GSM Evolution; Edge coloring; Graph coloring; Computer science; Graph; Artificial intelligence; Line graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018903,0.0001781665,0.0002696447,0.0001599996,0.0001228958,0.00004267391,0.0004425002,0.00009015268,0.000006097227],"category_scores_gemma":[0.00007419929,0.000124111,0.00006837851,0.0003555437,0.0001483211,0.0001689075,0.0002149866,0.000118952,0.00002757885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001973411,"about_ca_system_score_gemma":0.00004021575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002438172,"about_ca_topic_score_gemma":0.000003206756,"domain_scores_codex":[0.9986713,0.00007474216,0.0002701123,0.0004177293,0.0002745121,0.0002916032],"domain_scores_gemma":[0.9986838,0.0003512709,0.000141143,0.000575427,0.0001109672,0.0001374233],"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":[0.00001289912,0.00005909514,0.00161479,0.00001533735,0.00001691291,0.00000712463,0.0001962192,0.000001945037,0.01484112,0.9792762,0.0007501929,0.003208183],"study_design_scores_gemma":[0.001753254,0.000446976,0.003087836,0.0001633356,0.00000933025,0.00001083935,0.000004367373,0.0002833213,0.01347037,0.9792828,0.001275258,0.0002122969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952626,0.0002156046,0.0004751603,0.001255997,0.0016048,0.0001669726,0.000008064957,0.0001439543,0.0008668966],"genre_scores_gemma":[0.9981371,0.00003335768,0.0015088,0.0002298754,0.00000132214,0.000008430396,7.539642e-7,0.00001167119,0.00006864617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002995887,"threshold_uncertainty_score":0.5061099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477613073365393,"score_gpt":0.2271455471918423,"score_spread":0.2123694164581883,"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."}}