{"id":"W3161034762","doi":"10.1002/ski2.42","title":"Do Patient Characteristics Matter When Calculating Sample Size for Eczema Clinical Trials?","year":2021,"lang":"en","type":"article","venue":"Skin Health and Disease","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Research for Patient Benefit Programme; Programme Grants for Applied Research; Health Technology Assessment Programme; British Skin Foundation; National Institute for Health and Care Research","keywords":"Clinical trial; Sample size determination; Ethnic group; Medicine; Randomized controlled trial; Physical therapy; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006634794,0.0001428724,0.0007013526,0.00002795261,0.0001777266,0.00003324662,0.00003193213,0.00008427315,0.0006023444],"category_scores_gemma":[0.02566538,0.0001186088,0.0002580496,0.00004519995,0.00007320163,0.00004043697,0.0000435154,0.0001215863,0.00002160124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002066347,"about_ca_system_score_gemma":0.001125776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229902,"about_ca_topic_score_gemma":0.000001711796,"domain_scores_codex":[0.9977114,0.0004870402,0.000956054,0.000364024,0.0001411654,0.0003403151],"domain_scores_gemma":[0.99331,0.003925798,0.0002631324,0.0003129618,0.0001284543,0.002059634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002174958,0.0005200538,0.8534365,0.001454831,0.00005939435,0.0001595318,0.0002218547,1.596229e-7,0.000001008973,0.000149408,0.1025115,0.03931077],"study_design_scores_gemma":[0.00484423,0.000233955,0.9347265,0.0003948922,0.0003377089,0.00005255577,0.0003323544,0.0003745201,0.000006551184,0.007610462,0.05084674,0.0002394913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586074,0.00770504,0.0009518699,0.02876302,0.0008409891,0.001478368,0.001387411,0.00005887711,0.0002070317],"genre_scores_gemma":[0.9445689,0.0002271878,0.003268229,0.05071145,0.0004705321,0.0001075376,0.0004966466,0.00002224332,0.0001272212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08129003,"threshold_uncertainty_score":0.9825419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09726070748116793,"score_gpt":0.4356388376333188,"score_spread":0.3383781301521509,"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."}}