{"id":"W2972255214","doi":"","title":"Edge antimagic total labeling on paths and unicycles","year":2008,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Enhanced Data Rates for GSM Evolution; Arithmetic; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007824457,0.000883,0.001354803,0.002200889,0.002762773,0.003816518,0.001813285,0.001816032,0.009109564],"category_scores_gemma":[0.004376295,0.0009990837,0.001162854,0.004685906,0.002177185,0.006138046,0.003058256,0.002215571,0.0008179367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814322,"about_ca_system_score_gemma":0.0009053124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782193,"about_ca_topic_score_gemma":0.002402817,"domain_scores_codex":[0.9991366,0.000231485,0.0000628666,0.0002569328,0.0001368735,0.0001751929],"domain_scores_gemma":[0.9954111,0.002503128,0.0005085858,0.0006332212,0.0003325792,0.0006113212],"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":[0.0001238964,0.00005860649,0.0007137703,0.0001589611,0.00001660048,0.00009042694,0.0004524545,0.007206498,0.001469522,0.9657015,0.003623102,0.02038485],"study_design_scores_gemma":[0.00001980626,0.00002357945,0.0002849344,0.00002825446,0.00001931141,0.0001057603,0.0001596823,0.01422941,0.0006377184,0.9807867,0.003692905,0.00001177909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6030463,0.0009012919,0.3267322,0.001842446,0.0001961857,0.0001702719,0.001875435,0.0007075877,0.06452814],"genre_scores_gemma":[0.8302296,0.001279293,0.1374021,0.0006168538,0.0001954109,0.0003155843,0.002218368,0.000367966,0.02737494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009109564,"threshold_uncertainty_score":0.03047448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170136617437347,"score_gpt":0.2381651390073427,"score_spread":0.221151477263608,"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."}}