{"id":"W3149348444","doi":"","title":"On (a, d)-Antimagic Labelings of Generalized Petersen Graphs P(n, 2).","year":2009,"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; Combinatorics; Petersen graph; Discrete mathematics; Graph; Line graph; Voltage 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":[0.000778826,0.0006071465,0.0006060462,0.001765434,0.002641058,0.003513865,0.001031001,0.002055868,0.007624334],"category_scores_gemma":[0.004348612,0.00068196,0.0007744845,0.00236345,0.002360967,0.005450991,0.002762488,0.002127588,0.001318748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801699,"about_ca_system_score_gemma":0.0007170475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717344,"about_ca_topic_score_gemma":0.002775828,"domain_scores_codex":[0.9989792,0.000343719,0.00005861403,0.0002161943,0.0001829341,0.0002194473],"domain_scores_gemma":[0.9961032,0.00238364,0.0004742579,0.0004488809,0.0002062791,0.0003838585],"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":[0.0001381626,0.00006500321,0.0008414684,0.0001179733,0.0000195757,0.0001446589,0.0004288118,0.005336931,0.001835137,0.9625268,0.008217114,0.02032825],"study_design_scores_gemma":[0.00002610811,0.00001975962,0.0004768109,0.00003699461,0.00001345721,0.0001624413,0.0002565893,0.01086852,0.0008536899,0.9813658,0.005904389,0.0000153177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6234416,0.001783775,0.1812862,0.004116286,0.0003522913,0.0001803385,0.00193856,0.0007115017,0.1861895],"genre_scores_gemma":[0.9036883,0.001410841,0.06663361,0.0009275594,0.0002384419,0.0001829167,0.001714146,0.000203487,0.02500077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007624334,"threshold_uncertainty_score":0.0255059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017796650297908,"score_gpt":0.2312512647174133,"score_spread":0.2210732982144342,"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."}}