{"id":"W2949559209","doi":"","title":"Efficient unimodality test in clustering by signature testing","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unimodality; Signature (topology); Cluster analysis; Statistic; Hierarchical clustering; Statistical hypothesis testing; Test statistic; Mathematics; Computer science; Algorithm; Pattern recognition (psychology); Statistics; Data mining; Artificial intelligence","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":[0.005757039,0.0009503975,0.001858397,0.004408671,0.0011173,0.001824928,0.002634453,0.001604285,0.002966618],"category_scores_gemma":[0.03732713,0.0004477237,0.000977492,0.003276597,0.002703768,0.003006998,0.002881022,0.002110838,0.001451052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114106,"about_ca_system_score_gemma":0.002244998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247447,"about_ca_topic_score_gemma":0.0007784297,"domain_scores_codex":[0.9912283,0.003531717,0.0005208483,0.001664501,0.002634096,0.0004204845],"domain_scores_gemma":[0.9725817,0.01841481,0.001864949,0.002837825,0.003430947,0.0008697964],"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":[0.001845728,0.0004524079,0.02249651,0.0004117315,0.0003537428,0.0005471114,0.0004012475,0.1778153,0.036274,0.05527888,0.004536246,0.699587],"study_design_scores_gemma":[0.00007323414,0.0003411598,0.00398157,0.00002377682,0.00004998108,0.0005102209,0.0001188556,0.9189879,0.02253722,0.05125589,0.00201225,0.0001078887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04427677,0.0002497038,0.9528097,0.0001444682,0.00005353714,0.0000926054,0.0001932575,0.001128528,0.001051489],"genre_scores_gemma":[0.6012419,0.0002256478,0.3951637,0.000227276,0.0001628936,0.0003180988,0.001136817,0.0003234872,0.001199991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005757039,"threshold_uncertainty_score":0.03044647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06277861707316333,"score_gpt":0.2205572969784949,"score_spread":0.1577786799053315,"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."}}