{"id":"W320664247","doi":"10.1007/s11356-015-4664-7","title":"An open-source software package for multivariate modeling and clustering: applications to air quality management","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"R package; Multivariate statistics; Cluster analysis; Tree (set theory); Software; Computer science; Data mining; Variance (accounting); Multivariate analysis of variance; Software package; Multivariate analysis; Sample (material); Statistics; Mathematics; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.004328237,0.00007042787,0.00009188982,0.00008453097,0.000730495,0.0001431301,0.0003418759,0.00002674885,0.000008629537],"category_scores_gemma":[0.0002947511,0.00006282712,0.000007264607,0.0002530021,0.0003518632,0.0001995716,0.0005977682,0.00007622642,0.00001043299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380643,"about_ca_system_score_gemma":0.00002615334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001026021,"about_ca_topic_score_gemma":0.00001091753,"domain_scores_codex":[0.9985589,0.0001112793,0.0001590519,0.0004045775,0.000478392,0.0002877418],"domain_scores_gemma":[0.999068,0.0001704868,0.00002431769,0.0002997896,0.00003502978,0.0004023789],"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":[0.0001519724,0.0008089923,0.0004270936,0.0001244357,0.00001661853,8.207803e-7,0.003253354,0.0009142442,0.06154759,0.4193909,0.0007632256,0.5126008],"study_design_scores_gemma":[0.00236257,0.0008474798,0.02133788,0.00005942896,0.00003526649,0.000008917894,0.0181603,0.2193293,0.002947892,0.6965129,0.03764306,0.0007550307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07165682,0.00001254533,0.9256951,0.000763041,0.000008651653,0.001461053,0.00008450884,0.00001961018,0.0002986985],"genre_scores_gemma":[0.6178905,0.000007182344,0.3812709,0.00010171,0.00001772983,0.0005004862,0.000003843649,0.000006868383,0.0002007197],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5462337,"threshold_uncertainty_score":0.5618451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3602249742204898,"score_gpt":0.5328251620441696,"score_spread":0.1726001878236798,"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."}}