{"id":"W4407929807","doi":"10.1016/j.pharmr.2025.100049","title":"Analyzing lognormal data: A nonmathematical practical guide","year":2025,"lang":"en","type":"review","venue":"Pharmacological Reviews","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Log-normal distribution; Computer science; Statistics; Mathematics","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006646235,0.00113035,0.007328813,0.0001847683,0.0002089417,0.0001016924,0.001788868,0.0006391944,0.001475749],"category_scores_gemma":[0.05608169,0.0006804682,0.0011268,0.000763631,0.0002394292,0.0003196253,0.002115792,0.00205369,0.000366411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049818,"about_ca_system_score_gemma":0.0005521651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.542711e-7,"about_ca_topic_score_gemma":8.775863e-7,"domain_scores_codex":[0.9898655,0.003334818,0.003663905,0.001665169,0.00047,0.001000601],"domain_scores_gemma":[0.9707709,0.0256335,0.00127761,0.00167611,0.0001186371,0.0005232469],"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":[0.000006801871,0.0003430152,2.700089e-8,0.04438316,0.0002109918,0.0001388962,0.000003659005,7.59911e-8,3.122741e-7,0.07221601,0.07027746,0.8124196],"study_design_scores_gemma":[0.0001907416,0.00005129148,7.231166e-9,0.01480317,0.007862211,0.00009910406,0.000001895525,0.0003389372,3.285722e-7,0.06074075,0.9152803,0.000631246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.834068e-9,0.5340213,0.4587297,0.00006613504,0.0002412723,0.002069643,0.0001868347,0.00009906376,0.004586061],"genre_scores_gemma":[6.406516e-9,0.5517503,0.4458485,0.0001925343,0.0002886078,0.0005492358,0.0001012823,0.0000402082,0.001229292],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8450028,"threshold_uncertainty_score":0.9995646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.706138248624043,"score_gpt":0.6682161363044616,"score_spread":0.03792211231958131,"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."}}