{"id":"W1801749230","doi":"10.37236/2497","title":"Recognition and Characterization of Chronological Interval Digraphs","year":2013,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Combinatorics; Digraph; Mathematics; Interval (graph theory); Characterization (materials science); Interval graph; Vertex (graph theory); Discrete mathematics; Time complexity; Graph; Class (philosophy); Pathwidth; Line graph; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001909783,0.0002489912,0.0002077983,0.0009286432,0.0004156843,0.001047907,0.0006037347,0.0003373614,0.002573171],"category_scores_gemma":[0.001904965,0.0002310392,0.0003407321,0.001031703,0.0005174268,0.001379089,0.0004569577,0.0007038615,0.000407067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005239425,"about_ca_system_score_gemma":0.0004683498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105576,"about_ca_topic_score_gemma":0.001669699,"domain_scores_codex":[0.9996215,0.00004694478,0.00003084983,0.000160548,0.00009176217,0.00004831677],"domain_scores_gemma":[0.9987071,0.0004271031,0.0002961417,0.0002771327,0.0001836192,0.0001090492],"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":[0.0003332318,0.0002146603,0.01085102,0.0005247601,0.00004627233,0.0006845833,0.0008305676,0.0417692,0.06491441,0.6204632,0.006362194,0.2530059],"study_design_scores_gemma":[0.00007178193,0.0002237779,0.008010943,0.0001197251,0.00007476272,0.002233387,0.000685477,0.3182845,0.05102749,0.5567777,0.06238363,0.0001068805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2451691,0.0005402813,0.7378597,0.0002225879,0.00008064029,0.0001444933,0.001500839,0.001024235,0.01345806],"genre_scores_gemma":[0.7509546,0.0004175267,0.2416633,0.000123199,0.00006267443,0.0001425926,0.002462521,0.00009414068,0.004079339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002573171,"threshold_uncertainty_score":0.008608103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725302464268015,"score_gpt":0.2443001043111304,"score_spread":0.2270470796684503,"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."}}