{"id":"W4322729119","doi":"10.46613/congastro2022-38","title":"TL 701 ENDOSCOPISTAS EXPERTOS VS. INTELIGENCIA ARTIFICIAL (IA) EN LA EVALUACIÓN DE ESTENOSIS BILIARES INDETERMINADAS EN COLANGIOSCOPIA: UN ENSAYO CLÍNICO MULTICÉNTRICO, CONTROLADO, CIEGO Y ANIDADO","year":2022,"lang":"es","type":"article","venue":"","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Humanities; Art","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":[0.01275256,0.0006800451,0.001398478,0.001026959,0.0002815634,0.001225461,0.0005710489,0.0009061914,0.004232078],"category_scores_gemma":[0.01672786,0.0004370312,0.002212113,0.0009546603,0.0006307806,0.0008778271,0.0008943856,0.0006393525,0.0005061306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271046,"about_ca_system_score_gemma":0.001525459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966767,"about_ca_topic_score_gemma":0.003918885,"domain_scores_codex":[0.9938964,0.004055944,0.0003724579,0.0007199431,0.0006623546,0.0002928587],"domain_scores_gemma":[0.9898607,0.006212394,0.002001787,0.0006014045,0.001003802,0.0003199639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2455443,0.006067144,0.3040845,0.01210542,0.009029196,0.0004088034,0.001511295,0.008941063,0.009708868,0.00164245,0.007249402,0.3937078],"study_design_scores_gemma":[0.01972741,0.1872482,0.6596394,0.003807703,0.02517605,0.001697729,0.001817903,0.04998808,0.01254167,0.001867867,0.03619906,0.0002890223],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962234,0.02140127,0.006945393,0.0004887516,0.0002426153,0.001917123,0.002124756,0.0001094135,0.004536644],"genre_scores_gemma":[0.9859217,0.003569923,0.004520288,0.000370552,0.0001177263,0.002291772,0.001389717,0.0000272774,0.001791067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275256,"threshold_uncertainty_score":0.06744277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256171568754827,"score_gpt":0.3098171652992748,"score_spread":0.2972554496117266,"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."}}