{"id":"W2808240512","doi":"10.2139/ssrn.1713635","title":"The Interval Ordering Problem","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interval (graph theory); Mathematics; Bottleneck; Time complexity; Real line; Combinatorics; Cover (algebra); Discrete mathematics; Set (abstract data type); Function (biology); Polynomial; Approximation algorithm; Constant (computer programming); Computer science; Mathematical analysis","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":[0.001307222,0.000677701,0.001185643,0.001267535,0.001149217,0.003542256,0.001433882,0.001628425,0.01769584],"category_scores_gemma":[0.009538726,0.0006393751,0.0008609716,0.003491185,0.001437336,0.007218957,0.001905,0.003924613,0.002142292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100373,"about_ca_system_score_gemma":0.001097172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008208475,"about_ca_topic_score_gemma":0.0006560505,"domain_scores_codex":[0.9985668,0.0003982103,0.0001073234,0.0003678178,0.0004211064,0.0001387211],"domain_scores_gemma":[0.9956809,0.002860197,0.000271551,0.0006507919,0.0003343569,0.0002021833],"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":[0.0001846321,0.0000986086,0.0005493503,0.0002359734,0.00004034734,0.0001489012,0.0001909648,0.01975374,0.0008965491,0.8434265,0.02235654,0.1121178],"study_design_scores_gemma":[0.00002942288,0.00002214357,0.0001532306,0.00003774627,0.00001482833,0.0001422432,0.00007683449,0.03516214,0.000445971,0.9506054,0.01329838,0.00001164331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0501232,0.005459207,0.836253,0.007315279,0.0008853953,0.000131281,0.001531464,0.0004923767,0.09780884],"genre_scores_gemma":[0.5461543,0.008577222,0.3715377,0.001619672,0.002768818,0.0003801099,0.005612958,0.00056826,0.06278088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01769584,"threshold_uncertainty_score":0.0591985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005059904200827594,"score_gpt":0.2269570496680212,"score_spread":0.2218971454671937,"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."}}