{"id":"W2569798057","doi":"10.1016/j.jclinepi.2016.12.005","title":"Response to the letter by Guogen Shan and Hua Zhang (response to letter commenting: J Clin Epidemiol. 2015;68:733-739)","year":2017,"lang":"en","type":"letter","venue":"Journal of Clinical Epidemiology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; SickKids Foundation; Institute for Clinical Evaluative Sciences; Women's College Hospital; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Gee; Sample size determination; Categorical variable; Type I and type II errors; Statistic; Statistics; Generalized estimating equation; Contingency table; Binary number; Zhàng; Mathematics; Binary data; Inference; Subject (documents); Econometrics; Computer science; Artificial intelligence; Library science; Geography; Arithmetic","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"],"consensus_categories":["metaresearch","metaepi_narrow","research_integrity"],"category_scores_codex":[0.4214936,0.001370597,0.01332737,0.0005173137,0.0005361172,0.000168544,0.004418581,0.004862914,0.0006856498],"category_scores_gemma":[0.9514895,0.0008743574,0.002982742,0.0002488425,0.001680168,0.0001804232,0.001820942,0.01399184,0.000606889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099318,"about_ca_system_score_gemma":0.0004369745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003882849,"about_ca_topic_score_gemma":0.000007569696,"domain_scores_codex":[0.7222983,0.2393345,0.03031431,0.002825617,0.001900679,0.00332651],"domain_scores_gemma":[0.2828244,0.6988999,0.013182,0.003025804,0.00074505,0.001322851],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01511663,0.0001781051,0.002016064,0.0001218053,0.0008445584,0.0007540022,0.0000764619,0.000004963291,0.00008404291,0.0001415322,0.9726828,0.00797908],"study_design_scores_gemma":[0.002385952,0.002477656,0.00353759,0.0008297027,0.000737862,0.0002090723,0.00001004777,0.00004177631,0.00001474799,0.1125039,0.8764513,0.0008003724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006309559,0.0004856501,0.07456879,0.9071633,0.009346103,0.001487674,0.000482199,0.00004902007,0.0001077531],"genre_scores_gemma":[0.0001270303,0.0002159934,0.2912438,0.6784945,0.02632126,0.00006875959,0.000007992018,0.0001855337,0.003335119],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5299959,"threshold_uncertainty_score":0.9999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7665830285238733,"score_gpt":0.6658356382063745,"score_spread":0.1007473903174988,"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."}}