{"id":"W2408411972","doi":"","title":"L(2, 1)-labeling of flower snark and related graphs.","year":2013,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"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":[0.0006805491,0.0004950393,0.0007549799,0.001047025,0.002470647,0.002785217,0.001653915,0.002075857,0.01384051],"category_scores_gemma":[0.003823412,0.0004846762,0.0009071408,0.001570342,0.001660354,0.004535251,0.001900926,0.002157001,0.00182964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290446,"about_ca_system_score_gemma":0.001034751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751806,"about_ca_topic_score_gemma":0.004544218,"domain_scores_codex":[0.9991958,0.0002627062,0.00003709027,0.0002150463,0.0001148397,0.0001746353],"domain_scores_gemma":[0.9971077,0.001365333,0.0003762682,0.0005953736,0.0002249819,0.0003302424],"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":[0.0002072211,0.0001072229,0.001210135,0.0001969446,0.00002345342,0.0001733467,0.000277366,0.008874063,0.002040354,0.9380915,0.0218313,0.02696712],"study_design_scores_gemma":[0.00004203313,0.00002470574,0.0006464027,0.00003465801,0.0000221558,0.0002261605,0.0002130679,0.02387259,0.001353332,0.9623371,0.01120751,0.0000204116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4566838,0.001661376,0.2977754,0.007238782,0.000589576,0.0002756849,0.005260024,0.001849501,0.2286658],"genre_scores_gemma":[0.8078165,0.0007092677,0.1444741,0.001491514,0.0002803404,0.0002316394,0.003862831,0.0004671488,0.04066664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384051,"threshold_uncertainty_score":0.04630119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006622875648179369,"score_gpt":0.1988803946924699,"score_spread":0.1922575190442905,"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."}}