{"id":"W2294592207","doi":"","title":"ONLINE COLORING CO-INTERVAL GRAPHS","year":2009,"lang":"en","type":"article","venue":"Scientia Iranica","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interval (graph theory); Combinatorics; Competitive analysis; Interval graph; Mathematics; Unit interval; Online algorithm; Indifference graph; Upper and lower bounds; Class (philosophy); Chordal graph; Discrete mathematics; Unit (ring theory); Complete coloring; Graph coloring; Algorithm; Computer science; Graph; Line graph; 1-planar graph; 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":[0.001416032,0.0007829916,0.001269426,0.0004875731,0.0009104915,0.001721555,0.00289911,0.00141983,0.006813867],"category_scores_gemma":[0.009523834,0.0004663999,0.0005830725,0.00150013,0.001014031,0.003449502,0.001267252,0.001699403,0.0006994924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546533,"about_ca_system_score_gemma":0.001225671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873106,"about_ca_topic_score_gemma":0.00181599,"domain_scores_codex":[0.9975091,0.0009072103,0.0000861858,0.000651511,0.0004188646,0.0004271369],"domain_scores_gemma":[0.9895527,0.006183335,0.001152062,0.001889711,0.0006055561,0.0006168022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00266251,0.001343934,0.006264642,0.0008482417,0.0002236669,0.000490993,0.0003463961,0.6390466,0.01764423,0.1083759,0.01601985,0.206733],"study_design_scores_gemma":[0.0001337547,0.0001875622,0.0007512317,0.00002217504,0.00003916679,0.0002989037,0.0001013074,0.9373806,0.005897922,0.05010593,0.005059048,0.00002236979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.267312,0.0008715591,0.7140889,0.001189778,0.0002488941,0.0002598272,0.0005907731,0.001787344,0.01365094],"genre_scores_gemma":[0.8445958,0.0002665488,0.1493175,0.0002432701,0.0001360613,0.0001768577,0.000521687,0.0001800686,0.004562274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006813867,"threshold_uncertainty_score":0.0227946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150972043147005,"score_gpt":0.3059202773334071,"score_spread":0.2744105569019371,"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."}}