{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5461139,0.001089265,0.005442488,0.003202525,0.001221494,0.005089505,0.003425526,0.005736887,0.004435672],"category_scores_gemma":[0.7820626,0.001238565,0.005838721,0.005612936,0.00420702,0.007353765,0.002122191,0.00470499,0.001177641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441041,"about_ca_system_score_gemma":0.003946814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009771521,"about_ca_topic_score_gemma":0.001624075,"domain_scores_codex":[0.2960923,0.5936192,0.06531599,0.0111119,0.03235194,0.001508799],"domain_scores_gemma":[0.1968224,0.7292115,0.03535666,0.02301106,0.01341871,0.002179675],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0250388,0.001032593,0.3787072,0.02030502,0.03688552,0.0008984976,0.004935151,0.008749988,0.002033141,0.02578082,0.04896714,0.446666],"study_design_scores_gemma":[0.02830594,0.02765465,0.4987056,0.02333953,0.02919914,0.003748063,0.003043563,0.04254484,0.008276713,0.1480753,0.1861332,0.0009735453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2008297,0.100304,0.5082359,0.08812748,0.02233014,0.04323625,0.009702264,0.001197575,0.02603668],"genre_scores_gemma":[0.709792,0.006184492,0.2109237,0.02115881,0.003365351,0.04467045,0.00225825,0.0005632386,0.001083769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4538861,"threshold_uncertainty_score":0.5597224,"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."}}