{"id":"W2155086368","doi":"10.1016/j.cca.2005.11.007","title":"Testing experimental data for univariate normality","year":2006,"lang":"en","type":"review","venue":"Clinica Chimica Acta","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":236,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Normality; Statistics; Normality test; Kurtosis; Skewness; Anderson–Darling test; Sample size determination; Percentile; Mathematics; Quantile; Univariate; Goodness of fit; Statistical hypothesis testing; Econometrics; Kolmogorov–Smirnov test; Multivariate statistics","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":[0.02873636,0.001718623,0.006861386,0.003644445,0.000241797,0.00205184,0.002741491,0.001890167,0.004196148],"category_scores_gemma":[0.08280908,0.0007521792,0.002946216,0.003742873,0.003621093,0.00232533,0.0009758333,0.003125211,0.00126289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218088,"about_ca_system_score_gemma":0.003124256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009470391,"about_ca_topic_score_gemma":0.0009213392,"domain_scores_codex":[0.9750112,0.01504953,0.002441498,0.001415786,0.005894107,0.0001878738],"domain_scores_gemma":[0.8296077,0.1587245,0.004750026,0.003336472,0.003339575,0.000241719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000304446,0.00009147205,0.0007770587,0.04059275,0.0013507,0.00009887412,0.000105855,0.001332151,0.000620572,0.01387666,0.006123102,0.9347264],"study_design_scores_gemma":[0.001982495,0.003414007,0.02458983,0.08408069,0.01113042,0.00661466,0.0006122863,0.01536898,0.01228327,0.2907337,0.5486085,0.0005812921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007528788,0.9561139,0.04022028,0.0007071981,0.0004876996,0.000138838,0.0001480587,0.0001229547,0.001308214],"genre_scores_gemma":[0.01718457,0.9432713,0.03618823,0.0009512003,0.0009018203,0.0005776407,0.000299783,0.00005492909,0.0005704568],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02873636,"threshold_uncertainty_score":0.1519742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8925548796379184,"score_gpt":0.6694180607045064,"score_spread":0.223136818933412,"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."}}