{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00508353,0.002030456,0.007006449,0.0005866689,0.0005489787,0.001645056,0.000972234,0.002242571,0.003745526],"category_scores_gemma":[0.006725649,0.0007365254,0.008181779,0.0006824424,0.001007303,0.001102887,0.0006280799,0.002287091,0.0004292623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007476367,"about_ca_system_score_gemma":0.001058472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018527,"about_ca_topic_score_gemma":0.002022637,"domain_scores_codex":[0.9963145,0.00207285,0.0005931874,0.0004691564,0.0002809345,0.0002694763],"domain_scores_gemma":[0.9962812,0.001685834,0.0008871672,0.0005187741,0.0002679942,0.000359098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9774833,0.0006086159,0.001815591,0.0008190463,0.01267176,0.00003392742,0.00003143261,0.0001548956,0.001396318,0.00003472411,0.0001644277,0.004786029],"study_design_scores_gemma":[0.8823175,0.05304254,0.01956797,0.0002040375,0.04190301,0.00007059097,0.0000904854,0.0008931636,0.0009694968,0.000278039,0.0005739172,0.00008926795],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807014,0.01325416,0.001305971,0.0004233582,0.0007338464,0.001613148,0.001010672,0.00007309976,0.0008842403],"genre_scores_gemma":[0.994112,0.001907806,0.0007480727,0.0005384008,0.0005068647,0.0008780878,0.0006645025,0.0000233735,0.0006209168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007006449,"threshold_uncertainty_score":0.02688462,"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."}}