{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072092,0.00007479318,0.0001588257,0.0001284813,0.00005843778,0.0000457223,0.0006104761,0.00003989567,0.000009359585],"category_scores_gemma":[0.00007335802,0.00004774875,0.00005663415,0.0003950138,0.0001084736,0.0005840684,0.0001100091,0.0004036547,0.000005686151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005947952,"about_ca_system_score_gemma":0.00008572177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001765477,"about_ca_topic_score_gemma":2.493034e-7,"domain_scores_codex":[0.998941,0.0001778007,0.0002817654,0.00008562132,0.000245003,0.0002687974],"domain_scores_gemma":[0.9990686,0.0001460938,0.0003107948,0.0001767881,0.0002500177,0.00004775843],"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":[0.00004738201,0.0001644897,0.0005181091,0.00001456123,0.00007114604,0.00000260805,0.0004536315,0.000001728209,0.05597916,0.8640396,0.000023176,0.07868443],"study_design_scores_gemma":[0.0003637292,0.0009136727,0.004625819,0.0000195834,0.000007024083,0.0001088768,0.0000268058,0.0005082383,0.01104191,0.9821795,0.0001449812,0.00005990545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224703,0.0004273975,0.1762236,0.0006137603,0.0001017424,0.00009818585,2.717998e-7,0.000009200681,0.00005550207],"genre_scores_gemma":[0.9990104,0.0008232328,0.00008257459,0.00003125771,0.00002001071,0.000003236584,6.463028e-7,0.000004540174,0.00002413589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17654,"threshold_uncertainty_score":0.1947138,"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."}}