{"id":"W2901750293","doi":"10.1016/j.jclinepi.2018.11.009","title":"Analyzing excess risk from matched designs with double controls: author's response","year":2018,"lang":"en","type":"letter","venue":"Journal of Clinical Epidemiology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Frequentist inference; Scopus; Absolute risk reduction; Publication; Medicine; Psychology; Actuarial science; Bayesian probability; Statistics; MEDLINE; Bayesian inference; Mathematics; Economics; Confidence interval; Political science; Law","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":[],"category_scores_codex":[0.04283538,0.0007864019,0.002757383,0.001565353,0.001597666,0.002703311,0.002651233,0.0199874,0.008102065],"category_scores_gemma":[0.2622415,0.0007471922,0.001984548,0.001485663,0.001972004,0.002348238,0.001936737,0.01484722,0.003319871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276077,"about_ca_system_score_gemma":0.002560702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802701,"about_ca_topic_score_gemma":0.001984164,"domain_scores_codex":[0.9754273,0.01460819,0.003709591,0.001950305,0.003629102,0.0006756367],"domain_scores_gemma":[0.7298963,0.226795,0.008329201,0.008494273,0.02354225,0.002942971],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001848068,0.0001820634,0.00788362,0.0008523458,0.0006094146,0.001636378,0.0003109397,0.0002521673,0.0004282007,0.002815002,0.9447021,0.03847964],"study_design_scores_gemma":[0.005091634,0.0009096772,0.02420956,0.00375344,0.001760438,0.006742007,0.001779228,0.002573994,0.002479492,0.03318549,0.9170792,0.0004358151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001753461,0.001826268,0.001241579,0.941433,0.05185285,0.00009689227,0.0003306908,0.00006881708,0.001396452],"genre_scores_gemma":[0.0168048,0.001562178,0.002884482,0.9065478,0.06886177,0.000377371,0.0001228315,0.00007150034,0.002767223],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9571646,"threshold_uncertainty_score":0.2265379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5475729073006073,"score_gpt":0.5726156016685513,"score_spread":0.02504269436794404,"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."}}