{"id":"W2950033326","doi":"","title":"Approximating Majority Depth","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Vertex (graph theory); Combinatorics; Set (abstract data type); Point (geometry); Monte Carlo method; Mathematics; Sampling (signal processing); Data set; Algorithm; Discrete mathematics; Computer science; Statistics; Geometry; Graph","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003652346,0.0002153083,0.0002067181,0.0001966505,0.000178864,0.0001300997,0.001020516,0.000189439,0.00002290374],"category_scores_gemma":[0.00003559492,0.0002591041,0.0001402192,0.0005443735,0.00003422101,0.0005000901,0.001537678,0.0004037071,0.0001245903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360684,"about_ca_system_score_gemma":0.000146678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004103927,"about_ca_topic_score_gemma":0.00001472211,"domain_scores_codex":[0.9986108,0.000120771,0.0001817215,0.0006878709,0.0001037061,0.0002951085],"domain_scores_gemma":[0.9987005,0.00008559043,0.000221588,0.0006963988,0.0001412663,0.0001546834],"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":[0.00000691638,0.0001220032,0.002544111,0.00009377766,0.00006003585,0.0000418964,0.0002849225,0.3853065,0.00005971802,0.6025183,0.0003392848,0.008622609],"study_design_scores_gemma":[0.0002133054,0.00001377764,0.003417515,0.00003109824,0.00003451913,0.000006973384,0.00001846734,0.92276,0.000261171,0.07200865,0.000855788,0.0003787027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1116183,0.0001009619,0.881152,0.00005892496,0.0008953022,0.0001674827,0.000004324527,0.0002164152,0.005786232],"genre_scores_gemma":[0.9710485,0.00002248907,0.02765403,0.00008104582,0.000253282,9.269619e-7,0.00003366854,0.000008699023,0.0008973713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8594302,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.097644669865377,"score_gpt":0.1960307907093336,"score_spread":0.0983861208439566,"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."}}