{"id":"W28758523","doi":"10.1080/0142159x.2017.1357805","title":"Top-Down Skiplists.","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Binary number; Combinatorics; Set (abstract data type); Binary logarithm; Amortized analysis; Binary search algorithm; Data structure; Mathematics; Computer science; Search algorithm; Algorithm; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002751267,0.0002956343,0.000286064,0.0002542791,0.0001322024,0.0003370364,0.0037853,0.0001782291,0.00005892594],"category_scores_gemma":[0.00001905567,0.0003361049,0.0001844775,0.0004269523,0.00007669119,0.0005750761,0.005774442,0.0004140166,0.0005966424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009315013,"about_ca_system_score_gemma":0.00006576496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007778929,"about_ca_topic_score_gemma":0.00001259865,"domain_scores_codex":[0.9980569,0.00008329206,0.0001602881,0.001220659,0.0001077425,0.0003710599],"domain_scores_gemma":[0.9974458,0.00004746648,0.0001858691,0.002091405,0.00007687468,0.0001526294],"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":[0.000007438248,0.0001008378,0.001175878,0.0001152939,0.00011395,0.000400334,0.00009466452,0.02639647,0.000005494646,0.9494058,0.01369778,0.008486093],"study_design_scores_gemma":[0.0004518031,0.00004083004,0.001043516,0.00006621578,0.00006391276,0.000002295559,0.00002194267,0.8589481,0.00004554783,0.09520252,0.04339329,0.0007200095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01964787,0.00002775767,0.9502021,0.0002391088,0.001255394,0.0002111263,0.00001585614,0.0004306031,0.02797017],"genre_scores_gemma":[0.982644,0.0001007157,0.004302047,0.0002904107,0.0001902432,8.003873e-7,0.00005836725,0.00001542096,0.01239798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9629961,"threshold_uncertainty_score":0.9999091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05040916365503023,"score_gpt":0.17643766280246,"score_spread":0.1260284991474298,"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."}}