{"id":"W2907709303","doi":"","title":"On Generalized Total Graceful Labellings of Graphs.","year":2018,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics","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":[0.001315291,0.0009658842,0.0009495043,0.002041927,0.002707183,0.003127651,0.001604865,0.001604906,0.009500491],"category_scores_gemma":[0.00573422,0.0008300023,0.001685679,0.002474291,0.003217136,0.006872362,0.003779331,0.003017546,0.001275235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505644,"about_ca_system_score_gemma":0.001169416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238695,"about_ca_topic_score_gemma":0.00334197,"domain_scores_codex":[0.9982982,0.000516259,0.00009637765,0.0004351752,0.0003366089,0.0003174049],"domain_scores_gemma":[0.994854,0.002317946,0.0005832734,0.001302296,0.0003488504,0.0005935962],"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":[0.0000497316,0.00003203271,0.0005119427,0.00009241644,0.00001567228,0.00006428737,0.0003343983,0.004401241,0.0009530505,0.9729097,0.00564231,0.01499313],"study_design_scores_gemma":[0.00001493909,0.00001084325,0.0002329571,0.00002590339,0.00001410227,0.00007643387,0.0001037137,0.009876461,0.0003775707,0.9832498,0.006004818,0.00001228322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3278228,0.002234011,0.5171253,0.00547171,0.0005811808,0.0002655394,0.002285539,0.001891303,0.1423225],"genre_scores_gemma":[0.8467633,0.001863609,0.1103232,0.001695157,0.000470278,0.0004169484,0.002858926,0.0007492222,0.03485937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009500491,"threshold_uncertainty_score":0.03178233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131132811106516,"score_gpt":0.2309139718682288,"score_spread":0.2196026437571636,"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."}}