{"id":"W2102921272","doi":"10.1016/j.ipl.2009.03.005","title":"Efficient generation of the ideals of a poset in Gray code order","year":2009,"lang":"en","type":"article","venue":"Information Processing Letters","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Partially ordered set; Gray code; Mathematics; Squire; Ideal (ethics); Combinatorics; Code (set theory); Discrete mathematics; Order (exchange); Algorithm; Computer science; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004949638,0.0004473802,0.0006459912,0.000857405,0.0008145343,0.001568955,0.0006209509,0.0004154492,0.007382824],"category_scores_gemma":[0.001502213,0.0003157712,0.0008451041,0.0004687026,0.00108252,0.00137382,0.001652636,0.001126392,0.001618041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006415347,"about_ca_system_score_gemma":0.0008855775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006763493,"about_ca_topic_score_gemma":0.001589209,"domain_scores_codex":[0.9994733,0.0001035966,0.00002468962,0.00006975736,0.0001801567,0.0001485215],"domain_scores_gemma":[0.9991127,0.0003256784,0.00006196446,0.0001878139,0.000192863,0.0001190541],"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":[0.0004099504,0.0002734969,0.00156164,0.0002949647,0.00003294985,0.0006717051,0.001210439,0.03284488,0.03261044,0.7951734,0.01738751,0.1175286],"study_design_scores_gemma":[0.0001168439,0.0002679499,0.0005795659,0.00005753824,0.00004621784,0.0003821837,0.0004003282,0.1614364,0.04062044,0.7758051,0.02023024,0.00005732069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3598557,0.0003391076,0.5731465,0.001009023,0.0003726255,0.0004815147,0.00079461,0.00226336,0.06173754],"genre_scores_gemma":[0.8285207,0.0001710692,0.1535363,0.0001982979,0.0001147011,0.0001413582,0.001283466,0.0004853079,0.01554887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007382824,"threshold_uncertainty_score":0.02469796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306036593354886,"score_gpt":0.297960362757681,"score_spread":0.2673567034221924,"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."}}