{"id":"W2612440810","doi":"","title":"The Adjacent Vertex Distinguishing Total Chromatic Number of Some Families of Snarks.","year":2017,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Chromatic scale; Vertex (graph theory); Combinatorics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009450858,0.0003956267,0.0004592114,0.001717985,0.002745337,0.002500296,0.00149421,0.001145699,0.01032142],"category_scores_gemma":[0.004638609,0.0004675818,0.0006095376,0.001247264,0.002104298,0.00342141,0.001312306,0.001528905,0.0005211517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423637,"about_ca_system_score_gemma":0.0008400461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272283,"about_ca_topic_score_gemma":0.003077547,"domain_scores_codex":[0.9993308,0.00016805,0.00002866912,0.0002070319,0.0001042785,0.0001612077],"domain_scores_gemma":[0.9958336,0.002501785,0.0004779731,0.0003859528,0.0002774617,0.000523209],"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":[0.0004685734,0.00008381389,0.005687103,0.0001561857,0.00004471259,0.000203284,0.000433449,0.009351408,0.005493413,0.9545293,0.009582592,0.01396597],"study_design_scores_gemma":[0.00009201011,0.00007425824,0.005025551,0.00005399502,0.00009430775,0.0006239645,0.0006280043,0.05287334,0.004147207,0.9266141,0.009720514,0.00005272019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885943,0.000526738,0.03282096,0.001515291,0.0001698437,0.00004742455,0.001247539,0.0002427124,0.0748353],"genre_scores_gemma":[0.9837142,0.0001938801,0.009205566,0.0001773726,0.00006964509,0.00004746625,0.0006261755,0.00006755508,0.005898078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01032142,"threshold_uncertainty_score":0.03452855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150431540487794,"score_gpt":0.2503515025734838,"score_spread":0.2388471871686058,"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."}}