{"id":"W4404884933","doi":"10.1016/j.clinre.2024.102509","title":"Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP study","year":2024,"lang":"en","type":"article","venue":"Clinics and Research in Hepatology and Gastroenterology","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Capsule endoscopy; Medicine; Algorithm; Endoscopy; Capsule; Gastroenterology; General surgery; Artificial intelligence; Internal medicine; Computer science","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":[0.008807732,0.0008487271,0.001512259,0.001384263,0.0006354767,0.00250432,0.001443198,0.001461204,0.002198088],"category_scores_gemma":[0.02734378,0.0005127486,0.001144665,0.0008018876,0.0004232161,0.002825591,0.001438192,0.001407637,0.00126292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470791,"about_ca_system_score_gemma":0.001518147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214456,"about_ca_topic_score_gemma":0.00200599,"domain_scores_codex":[0.995855,0.002105917,0.000297771,0.0006590735,0.0009097847,0.0001723381],"domain_scores_gemma":[0.9804647,0.01039391,0.0007615949,0.002854426,0.005124743,0.0004006107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003340625,0.002050079,0.06629997,0.0002693561,0.0007533724,0.0002364906,0.0003001433,0.05836551,0.0214857,0.004487916,0.007088576,0.8353222],"study_design_scores_gemma":[0.0001427961,0.0008644314,0.009556888,0.00002001748,0.00025965,0.0001953902,0.0001570034,0.9735243,0.01229212,0.001229902,0.00172017,0.00003735027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4764931,0.001726559,0.5131227,0.00127523,0.0002375823,0.000556988,0.0006084624,0.003278535,0.00270092],"genre_scores_gemma":[0.5938262,0.0004762566,0.4004,0.0003465145,0.0002440986,0.0001274502,0.001947872,0.0001609228,0.002470668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008807732,"threshold_uncertainty_score":0.04658031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895859231314752,"score_gpt":0.4399712127488129,"score_spread":0.2503852896173377,"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."}}