{"id":"W4400513380","doi":"10.61091/ars159-03","title":"Full Edge-Friendly Index Sets of One Point Union of Cycles","year":2024,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Index (typography); Point (geometry); Enhanced Data Rates for GSM Evolution; Geometry; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196592,0.00009593723,0.0002028013,0.0001044261,0.00003659482,0.00001046782,0.0001762849,0.00007354098,0.00006425293],"category_scores_gemma":[0.00007320545,0.00009279347,0.00008979887,0.0003470874,0.00009705687,0.00007325878,0.0000614868,0.0001202998,0.00002011405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001559648,"about_ca_system_score_gemma":0.00003306822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001070659,"about_ca_topic_score_gemma":0.000002860624,"domain_scores_codex":[0.9991971,0.00006837236,0.0003028108,0.0001505689,0.000162288,0.0001189165],"domain_scores_gemma":[0.9990833,0.000334361,0.00009750797,0.0003647747,0.00007810842,0.00004196632],"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":[0.00001582891,0.0002667331,0.0001039306,0.0002601919,0.00005323023,0.000001146559,0.0004254077,9.863982e-7,0.006549045,0.990229,0.001262537,0.0008319759],"study_design_scores_gemma":[0.0002280282,0.000122828,0.0004076748,0.0001608075,0.0000440023,0.000002744342,0.0001473026,0.0001049359,0.02204708,0.9761637,0.0004859688,0.0000849006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946212,0.0001799364,0.0003987089,0.0002155116,0.0003706728,0.0001836264,0.000023644,0.00008516931,0.003921556],"genre_scores_gemma":[0.9990116,0.00001555407,0.0008217832,0.00000558134,0.000004564427,0.00001847267,0.000006510373,0.0000193552,0.00009658788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549804,"threshold_uncertainty_score":0.3784008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135634405324806,"score_gpt":0.2897104969179378,"score_spread":0.2683541528646897,"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."}}