{"id":"W2585936885","doi":"10.1145/3007186","title":"Inverted Treaps","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Inverted index; Merge (version control); Identifier; ENCODE; Intersection (aeronautics); Thresholding; Representation (politics); Index (typography); Data mining; Information retrieval; Search engine indexing; Theoretical computer science; Artificial intelligence; Image (mathematics)","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":[0.001137866,0.001201118,0.001734792,0.005854275,0.001430849,0.004240888,0.002844928,0.001122652,0.01620859],"category_scores_gemma":[0.01053991,0.0006629422,0.001329242,0.01028812,0.0009675698,0.00751753,0.003228508,0.001760104,0.008602586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014142,"about_ca_system_score_gemma":0.002732996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262681,"about_ca_topic_score_gemma":0.006518181,"domain_scores_codex":[0.9975588,0.0002165433,0.0003157149,0.000442718,0.001189533,0.0002766119],"domain_scores_gemma":[0.9931722,0.00104077,0.0005097171,0.002839503,0.00217797,0.0002597783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009246802,0.0003042828,0.002663459,0.0007059334,0.0001738901,0.0004307102,0.0004888483,0.04106593,0.02799455,0.1232219,0.08076619,0.7212597],"study_design_scores_gemma":[0.0002196107,0.000993196,0.00266837,0.0002778753,0.0002037307,0.00216467,0.0006865376,0.4867764,0.08604645,0.1755257,0.2440588,0.0003788511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03388562,0.001576793,0.8944486,0.0005375368,0.0008868058,0.0006915666,0.01987669,0.01890793,0.02918836],"genre_scores_gemma":[0.2026013,0.001256262,0.7214019,0.0005281541,0.0005711238,0.001009702,0.04568739,0.002716821,0.02422749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01620859,"threshold_uncertainty_score":0.05422312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721772894203236,"score_gpt":0.2607516944946491,"score_spread":0.2335339655526167,"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."}}