{"id":"W2054389590","doi":"10.1016/j.comgeo.2006.12.002","title":"An optimal randomized algorithm for d-variate zonoid depth","year":2007,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Random variate; Algorithm; Multivariate statistics; Computation; Mathematics; Randomized algorithm; Lift (data mining); Computer science; Statistics; Random variable; Data mining","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":[0.002309974,0.001384491,0.002542394,0.002200605,0.001322983,0.002287779,0.004223229,0.002700359,0.01339834],"category_scores_gemma":[0.01222397,0.001285144,0.001663985,0.001987151,0.00193456,0.004381151,0.006336865,0.003124799,0.002191893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003003113,"about_ca_system_score_gemma":0.004757202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007977489,"about_ca_topic_score_gemma":0.01089337,"domain_scores_codex":[0.99808,0.000556113,0.0001259381,0.0004754934,0.0004979406,0.0002645989],"domain_scores_gemma":[0.9957208,0.002479223,0.0002644837,0.0006860323,0.000483005,0.0003665747],"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":[0.001328625,0.0003059306,0.002056677,0.000423527,0.000178479,0.0000897235,0.0002907441,0.3054302,0.008453759,0.1515846,0.01847443,0.5113833],"study_design_scores_gemma":[0.000233601,0.0001035511,0.0002478308,0.00002744792,0.00002948852,0.00005980273,0.00004473707,0.9240074,0.001992421,0.07051069,0.002709619,0.00003343846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01033008,0.0002890149,0.9852519,0.0003703213,0.00009980222,0.0001363107,0.000246946,0.001789517,0.001486023],"genre_scores_gemma":[0.09975893,0.0001751245,0.8960537,0.0002392376,0.0001116962,0.0003466453,0.0004706851,0.0003831763,0.002460841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01339834,"threshold_uncertainty_score":0.04482192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07423469883466306,"score_gpt":0.438714501105728,"score_spread":0.3644798022710649,"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."}}