{"id":"W35075569","doi":"10.1007/s00604-022-05173-0","title":"Eccentricity sequences and eccentricity sets in digraphs.","year":2008,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph theory and applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council of Thailand","keywords":"Digraph; Eccentricity (behavior); Mathematics; Combinatorics; Sequence (biology); Vertex (graph theory); Eccentric; Set (abstract data type); Order (exchange); Discrete mathematics; Physics; Graph; Computer science; Biology","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":[0.000407132,0.0004022231,0.0003341177,0.002011443,0.0008364023,0.001403851,0.0005007426,0.0006922444,0.007105543],"category_scores_gemma":[0.003494429,0.0003585472,0.0002809997,0.001531475,0.001312903,0.002359991,0.0009549815,0.0007608225,0.001404933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008962105,"about_ca_system_score_gemma":0.0003374326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000710343,"about_ca_topic_score_gemma":0.001011131,"domain_scores_codex":[0.9994803,0.0001241669,0.00004307558,0.0001838948,0.0001089264,0.00005957659],"domain_scores_gemma":[0.9978467,0.0008402743,0.0004621671,0.0002344806,0.0003618456,0.0002545001],"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":[0.0002350754,0.00005815795,0.002693258,0.0002865593,0.00003332696,0.0005617636,0.0007952927,0.01175802,0.01751046,0.8627177,0.003990958,0.09935948],"study_design_scores_gemma":[0.00003468244,0.0001205617,0.002994207,0.0001039267,0.00003067737,0.001346327,0.0004714671,0.06064735,0.01155577,0.8855106,0.0371371,0.00004722326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3731147,0.001801185,0.5357464,0.001075968,0.0003390984,0.0001971545,0.001921339,0.001115422,0.08468874],"genre_scores_gemma":[0.8127918,0.001049297,0.1576411,0.0003402274,0.0001724072,0.0001742027,0.001508198,0.000190916,0.02613183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007105543,"threshold_uncertainty_score":0.02377039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507426591244646,"score_gpt":0.283843585084521,"score_spread":0.2487693191720746,"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."}}