{"id":"W2053843934","doi":"10.1002/sam.11149","title":"Nearest‐neighbors medians clustering","year":2012,"lang":"en","type":"article","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Mathematics; Median; Uniqueness; Partition (number theory); Univariate; Cluster analysis; Nonparametric statistics; Fixed point; Sample (material); Algorithm; Combinatorics; Statistics; Mathematical analysis","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01184459,0.0001617286,0.000296383,0.0002863445,0.001206839,0.001731673,0.008362317,0.00003515855,0.00006132048],"category_scores_gemma":[0.001594255,0.00009386941,0.00003217832,0.001976387,0.0007154941,0.005710634,0.006604244,0.0003470323,0.000008551951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223222,"about_ca_system_score_gemma":0.0002013872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007782133,"about_ca_topic_score_gemma":0.00007183079,"domain_scores_codex":[0.9970434,0.0002338799,0.0004156269,0.0007159078,0.000873646,0.0007175424],"domain_scores_gemma":[0.9951534,0.0006943943,0.0001965129,0.003222027,0.0000889213,0.0006447067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009830228,0.00008470987,0.01440297,0.000008755048,0.000312848,0.00004579725,0.002128275,0.00002253049,0.000154051,0.06781822,0.01004868,0.9049633],"study_design_scores_gemma":[0.0001193207,0.00003080672,0.03669122,0.00001434092,0.0004469667,0.0002843082,0.0002441824,0.9550499,0.000008263499,0.003293554,0.003590835,0.0002262802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001212685,0.0003342546,0.9957324,0.001566219,0.0003604833,0.00003998605,0.0004718592,0.00001860758,0.00026349],"genre_scores_gemma":[0.1924204,0.0001635013,0.806664,0.0003749835,0.0002620952,6.616156e-7,0.00009556146,0.000004721275,0.00001404551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9550274,"threshold_uncertainty_score":0.9993047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09250896968680458,"score_gpt":0.3798075243016192,"score_spread":0.2872985546148146,"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."}}