{"id":"W4387571373","doi":"10.1186/s13063-023-07695-1","title":"Letter in response to: “The importance of clinical importance when determining the target difference in sample size calculations”","year":2023,"lang":"en","type":"letter","venue":"Trials","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sample size determination; Medicine; Sample (material); Medical physics; Statistics; Mathematics; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.159952,0.0004029697,0.003905814,0.0004871555,0.0001281679,0.00009912476,0.001176976,0.0007665454,0.0004752335],"category_scores_gemma":[0.2786949,0.0003385844,0.0004845799,0.0005454705,0.0001534648,0.0001609214,0.0001755328,0.001493082,0.0006020826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402786,"about_ca_system_score_gemma":0.000470436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341086,"about_ca_topic_score_gemma":0.002073777,"domain_scores_codex":[0.9691359,0.007994507,0.02050608,0.001230643,0.0003119804,0.0008208327],"domain_scores_gemma":[0.8555352,0.132574,0.009788412,0.001897859,0.00009775309,0.0001067917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001147947,0.00002258704,0.4141629,0.00008968543,0.00003620657,0.000007486506,0.0008161,0.00009206725,2.626148e-7,0.0001696133,0.5844337,0.00005460598],"study_design_scores_gemma":[0.00112894,0.00004936891,0.5213109,0.0001782956,0.00001006327,6.292453e-7,0.00006112886,0.0004071268,4.03895e-7,0.01091093,0.4656268,0.0003154075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1567364,0.0003786917,0.0003477236,0.8358232,0.001942578,0.002962947,0.001684499,0.00003220347,0.0000917871],"genre_scores_gemma":[0.01765342,0.00008244717,0.004488259,0.9689663,0.005533597,0.001074631,0.0001558514,0.0001240976,0.001921386],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1390829,"threshold_uncertainty_score":0.9999066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6831238813947429,"score_gpt":0.5320284644127792,"score_spread":0.1510954169819637,"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."}}