{"id":"W4398163961","doi":"10.1109/dcc58796.2024.00033","title":"Space-Efficient Data Structures for Polyominoes and Bar Graphs","year":2024,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyomino; Bar (unit); Space (punctuation); Computer science; Data structure; Combinatorics; Discrete mathematics; Mathematics; Theoretical computer science; Geometry; Programming language; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316293,0.00008417277,0.00007501069,0.00006629335,0.00009570135,0.000427571,0.0007484513,0.00002787,0.00001992002],"category_scores_gemma":[0.00001428497,0.0000545556,0.00001837337,0.0001103608,0.00002830682,0.0003624077,0.001000445,0.00004639974,0.000006066786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004133615,"about_ca_system_score_gemma":0.00002880586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003817308,"about_ca_topic_score_gemma":0.00000324597,"domain_scores_codex":[0.9991669,0.000009008842,0.00008593073,0.0004667096,0.0001220969,0.0001493692],"domain_scores_gemma":[0.9990705,0.00009408034,0.0000115119,0.0007451333,0.00001489583,0.00006390951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002322132,0.000009850913,0.00002112475,0.00003487623,0.00001202302,0.000005822062,0.0001058372,0.00002627377,0.0004350989,0.8256995,0.0431038,0.1305435],"study_design_scores_gemma":[0.00009448083,0.0000300452,0.0005729326,0.00001805767,0.000005622785,0.00001471505,0.00001818097,0.888256,0.0007667654,0.02120364,0.08891074,0.0001087997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004506911,0.002552813,0.9904693,0.001039959,0.0006243327,0.0001405167,0.0001176028,0.0001844794,0.0003641202],"genre_scores_gemma":[0.4804675,0.0001052431,0.5182446,0.0002595821,0.0001696671,0.00001044593,0.0000875055,0.00001350242,0.0006419544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8882297,"threshold_uncertainty_score":0.4123077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015134322303342,"score_gpt":0.2896334790092235,"score_spread":0.2594821357861901,"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."}}