{"id":"W4248131299","doi":"10.1053/j.gastro.2018.01.022","title":"Reply","year":2018,"lang":"en","type":"letter","venue":"Gastroenterology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Scopus; Sample size determination; Medicine; MEDLINE; Mathematics; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.002844647,0.0009096581,0.001539766,0.001106278,0.006712728,0.006060095,0.001935316,0.07543486,0.01784626],"category_scores_gemma":[0.03200921,0.0009290578,0.001424367,0.0007842525,0.003467394,0.004210443,0.00395361,0.0459696,0.01298767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004922714,"about_ca_system_score_gemma":0.006167197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008765762,"about_ca_topic_score_gemma":0.01385926,"domain_scores_codex":[0.9968004,0.0006110354,0.0003952475,0.0004900825,0.0008719219,0.0008312624],"domain_scores_gemma":[0.9904484,0.003278619,0.001146377,0.0003033241,0.002255885,0.002567414],"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":[0.00001789789,0.00001166786,0.0006872463,0.0000337086,0.00001105236,0.001113736,0.0001672532,0.00001967092,0.00004479441,0.0007996639,0.9943442,0.002749081],"study_design_scores_gemma":[0.0000765554,0.00004277811,0.001900434,0.0003894502,0.00004086394,0.001918578,0.001248457,0.00015331,0.0001162965,0.004431854,0.9895988,0.00008261162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002778669,0.0008508145,0.00003642055,0.9681972,0.02804573,0.00001019916,0.00004563048,0.00002059314,0.002515572],"genre_scores_gemma":[0.001388807,0.000375362,0.00004246907,0.973448,0.0174034,0.00002276829,0.00002020316,0.0000121958,0.007286857],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07543486,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183777513940275,"score_gpt":0.2635794654516002,"score_spread":0.2452017140575727,"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."}}