{"id":"W2948265977","doi":"10.1016/j.gie.2019.03.872","title":"Mo1682 IMPACT OF BODY MASS INDEX ON THE EFFICACY AND SAFETY OF A READY-TO-DRINK LOW VOLUME BOWEL PREPARATION: SUBGROUP ANALYSIS FROM A RANDOMIZED, ASSESSOR-BLINDED, MULTICENTER STUDY","year":2019,"lang":"en","type":"article","venue":"Gastrointestinal Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Body mass index; Subgroup analysis; Obesity; Bowel preparation; Incidence (geometry); Colorectal cancer; Internal medicine; Gastroenterology; Surgery; Cancer; Colonoscopy; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000875607,0.0002748516,0.001103118,0.0003271909,0.00005491505,0.00003226904,0.0001387201,0.00004787215,0.0002275294],"category_scores_gemma":[0.001073948,0.0001816937,0.0003627788,0.0006392137,0.0001068388,0.00007701876,0.00006410311,0.0003112238,0.00001668578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260378,"about_ca_system_score_gemma":0.00008865944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930928,"about_ca_topic_score_gemma":0.0001398419,"domain_scores_codex":[0.997619,0.0003889615,0.0007236108,0.0004720645,0.000531262,0.0002651532],"domain_scores_gemma":[0.9970792,0.001438399,0.0004435783,0.0005917193,0.0002825691,0.0001645628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.4076685,0.0004325197,0.5737288,0.00002084288,0.0007601549,0.000006636241,0.0003311247,0.002843097,0.01406886,0.00000284498,0.00002449267,0.0001120829],"study_design_scores_gemma":[0.08367892,0.01399935,0.835228,0.0003897504,0.001244565,0.00003310907,0.0004623221,0.0637659,0.001054011,0.000008006165,0.000002000289,0.0001340718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769573,0.000023763,0.0201813,0.0001374238,0.00005948966,0.002295214,0.0000439137,0.00004168131,0.0002598623],"genre_scores_gemma":[0.9956837,0.000002905571,0.003986747,0.00004031609,0.00007248583,0.00006319235,0.00002721624,0.00002179417,0.0001016381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3239896,"threshold_uncertainty_score":0.7409254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426100202143685,"score_gpt":0.3088729618971686,"score_spread":0.2946119598757318,"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."}}