{"id":"W2136124010","doi":"10.6000/1929-6029.2015.04.01.6","title":"Estimating Mean and Standard Deviation from the Sample Size, Three Quartiles, Minimum, and Maximum","year":2014,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard deviation; Quartile; Statistics; Mathematics; Log-normal distribution; Sample size determination; Sample mean and sample covariance; Standard error; Sample (material); Absolute deviation; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007446255,0.00009746544,0.0002626721,0.00009313077,0.00009717909,0.00009371184,0.0003756003,0.00007707515,0.0001792729],"category_scores_gemma":[0.136714,0.00006573512,0.0000201992,0.0000829417,0.000388375,0.00009299534,0.0001718546,0.0007760829,9.457953e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007973397,"about_ca_system_score_gemma":0.0001389874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681972,"about_ca_topic_score_gemma":0.0006795081,"domain_scores_codex":[0.9959932,0.0005440298,0.0006805212,0.0001665355,0.002387183,0.0002285052],"domain_scores_gemma":[0.9221183,0.07645537,0.000219323,0.0001157682,0.0008677358,0.0002234744],"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":[0.0002273498,0.00005810733,0.001726271,0.00003098663,0.00005861161,0.00008326968,0.0007654312,0.00002909096,0.00004512506,0.2290956,0.001038,0.7668422],"study_design_scores_gemma":[0.0007490778,0.0001555358,0.002084199,0.0002362679,0.00001140234,0.00002631002,0.0001365442,0.1235594,0.00001334255,0.8724427,0.0005278095,0.00005741973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03820497,0.0001198224,0.9586223,0.002445193,0.0002412514,0.0000960984,0.0001922391,0.000003631459,0.00007452759],"genre_scores_gemma":[0.266453,0.0001250389,0.7329668,0.0001153014,0.0003171302,0.000003580191,0.000003425047,0.00001138848,0.00000430977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7667847,"threshold_uncertainty_score":0.8705578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1411988598922672,"score_gpt":0.5093025280025928,"score_spread":0.3681036681103256,"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."}}