{"id":"W4223569106","doi":"10.1177/0272989x221091567","title":"Author Response to “Optimal Sample Size Calculation for Clinical Research under a Budget Constraint”","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Sample size determination; Sample (material); Clinical research; Research design; Large sample","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":[],"consensus_categories":[],"category_scores_codex":[0.01261625,0.001421421,0.003427902,0.001827119,0.003738291,0.004344706,0.002222899,0.03213659,0.03079092],"category_scores_gemma":[0.1338615,0.001731855,0.002325948,0.001927284,0.002218783,0.001986072,0.002334864,0.02440409,0.0194096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004735436,"about_ca_system_score_gemma":0.007056518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004715801,"about_ca_topic_score_gemma":0.004691171,"domain_scores_codex":[0.9883184,0.004936502,0.002453288,0.000964402,0.002325057,0.001002161],"domain_scores_gemma":[0.9076323,0.06048247,0.00436289,0.001987446,0.02205677,0.003478185],"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":[0.0001449244,0.00001321402,0.0002446055,0.0001827318,0.00001990666,0.0000942195,0.00003862596,0.0001083449,0.00008422157,0.0005444245,0.9951697,0.003354995],"study_design_scores_gemma":[0.000455081,0.0001395435,0.003039474,0.001348042,0.0001151456,0.0005583267,0.0004213894,0.001389484,0.0006652646,0.003826092,0.9879001,0.0001420564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005107902,0.001344935,0.001001079,0.8704789,0.1221625,0.0002257828,0.0009603251,0.0002546874,0.003060935],"genre_scores_gemma":[0.004015233,0.001303611,0.001385633,0.8984155,0.08115575,0.000671488,0.0003365023,0.0001739384,0.01254236],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03213659,"threshold_uncertainty_score":0.1030059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7118625322965719,"score_gpt":0.6283684702587494,"score_spread":0.0834940620378225,"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."}}