{"id":"W4380143054","doi":"10.3390/jcm12113757","title":"A Comprehensive Guide to Artificial Intelligence in Endoscopic Ultrasound","year":2023,"lang":"en","type":"review","venue":"Journal of Clinical Medicine","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Ultrasound; Medical physics; Endoscopic ultrasound; Radiology; Artificial intelligence","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005913852,0.0003684931,0.008598156,0.001092921,0.00003231346,0.000009029113,0.0004812844,0.0006057213,0.0004944692],"category_scores_gemma":[0.0392937,0.0002192912,0.000747328,0.001222923,0.0004922248,0.00003567539,0.0001078496,0.002781667,0.0004950215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251989,"about_ca_system_score_gemma":0.002452768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005156578,"about_ca_topic_score_gemma":0.00003019441,"domain_scores_codex":[0.9900484,0.0008559932,0.007197745,0.0003842843,0.001034765,0.0004788185],"domain_scores_gemma":[0.9773877,0.01912729,0.001510371,0.0004575888,0.0006474096,0.0008696651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003168282,0.0003226268,0.001371348,0.008225517,0.0006641575,0.003077869,0.0001151007,6.039414e-7,0.000001530753,0.0001409989,0.01264714,0.9731163],"study_design_scores_gemma":[0.0008837171,0.005079717,0.001869445,0.07875239,0.00209506,0.0009093719,0.0002738957,0.000009211897,3.008849e-7,0.0006707376,0.9093141,0.0001420603],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004609823,0.9904789,0.0006728171,0.002834046,0.001953564,0.001293678,0.000006835591,0.00001728862,0.002281858],"genre_scores_gemma":[0.00003391732,0.9906987,0.002377073,0.000802395,0.004818419,0.00002451314,0.00001049572,0.00005147872,0.001182996],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9729742,"threshold_uncertainty_score":0.9995189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4678002837562673,"score_gpt":0.624336620655352,"score_spread":0.1565363368990847,"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."}}