{"id":"W2789462440","doi":"","title":"Computing 3-total edge product cordial labeling of generalized Petersen graphs P(n, m).","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":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Enhanced Data Rates for GSM Evolution; Product (mathematics); Computer science; Geometry; Telecommunications","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":[0.0003868102,0.0005737314,0.0005723122,0.0007547724,0.0008947716,0.001999241,0.0009604686,0.0008707511,0.01066145],"category_scores_gemma":[0.002916647,0.0003189679,0.0005832432,0.001218651,0.0007964441,0.003019311,0.001196741,0.0008831813,0.001604187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217813,"about_ca_system_score_gemma":0.0008783436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076627,"about_ca_topic_score_gemma":0.005809218,"domain_scores_codex":[0.9996438,0.00007615541,0.00001987048,0.0001143817,0.00006754154,0.00007812931],"domain_scores_gemma":[0.9987921,0.0004670073,0.0001351015,0.0003488517,0.0001344219,0.0001225077],"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":[0.0011773,0.000384621,0.01178476,0.001004243,0.000137712,0.0004851129,0.001033722,0.1202156,0.01892869,0.5035084,0.04355351,0.2977864],"study_design_scores_gemma":[0.00007387883,0.0001382536,0.003064397,0.00006036253,0.00006699139,0.0003088656,0.0004827639,0.2455919,0.01047189,0.7236455,0.01605887,0.00003628862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7356045,0.0005481016,0.2140988,0.001208353,0.0001427379,0.0001103168,0.003765333,0.002300492,0.04222139],"genre_scores_gemma":[0.8459355,0.0002319865,0.1374245,0.0002513207,0.00005822396,0.00007724574,0.004527315,0.0003864639,0.01110753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066145,"threshold_uncertainty_score":0.03566611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425831397257204,"score_gpt":0.2409775267291834,"score_spread":0.2267192127566113,"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."}}