{"id":"W2330970282","doi":"10.1002/bimj.201200254","title":"Letter to the Editor","year":2013,"lang":"en","type":"letter","venue":"Biometrical Journal","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sample size determination; Continuous variable; Binary number; Statistics; Sample (material); Mathematics; Latent variable; Econometrics; Computer science; Arithmetic; Physics","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.005469844,0.0005071879,0.001220475,0.001309663,0.0002670601,0.0006774219,0.001996522,0.001712478,0.003861805],"category_scores_gemma":[0.2368234,0.0002678157,0.0006873626,0.002676706,0.0002019491,0.00006889801,0.0004032773,0.007713646,0.003985559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468237,"about_ca_system_score_gemma":0.0001094153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004779682,"about_ca_topic_score_gemma":1.089235e-7,"domain_scores_codex":[0.9920593,0.002286977,0.001810046,0.0005418534,0.002327519,0.0009743402],"domain_scores_gemma":[0.8896984,0.1075963,0.0007729911,0.0009454284,0.0005101805,0.0004766479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001147322,0.00004906071,0.000002644329,0.00004268091,0.000150214,0.0002366314,0.00001078331,5.074597e-8,0.00000575278,0.0001885647,0.9787941,0.02050802],"study_design_scores_gemma":[0.0002573649,0.0001859775,0.00002126384,0.00007613431,0.0001479936,0.00009888248,0.000001693679,0.000004426733,0.00001380063,0.1832992,0.8155726,0.0003206339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000004155316,0.00008954693,0.1390345,0.8209507,0.03836292,0.0005898018,0.0001063482,0.00005819014,0.0008038491],"genre_scores_gemma":[0.000001150473,0.00001569011,0.2799008,0.4410113,0.2764299,0.00003173624,0.000001330926,0.00006457129,0.002543532],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3799394,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5488640244462376,"score_gpt":0.5448566038001013,"score_spread":0.00400742064613635,"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."}}