{"id":"W4387260608","doi":"10.1002/uog.27211","title":"EP31.15: Artificial Intelligence as a teaching tool for ultrasound in gynecology: a systematic scoping review","year":2023,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"CINAHL; Medicine; Scopus; MEDLINE; Inclusion (mineral); Inclusion and exclusion criteria; Medical physics; Systematic review; Web of science; Medical education; Meta-analysis; Pathology; Alternative medicine; Nursing; Psychological intervention","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":[0.02554869,0.00236909,0.008307902,0.02655751,0.001505494,0.006343053,0.002814127,0.004436765,0.01337808],"category_scores_gemma":[0.0818942,0.001511211,0.005760239,0.02673979,0.001995207,0.006623125,0.003811326,0.002201797,0.001947522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007129579,"about_ca_system_score_gemma":0.03310446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00599594,"about_ca_topic_score_gemma":0.01646878,"domain_scores_codex":[0.9834623,0.005439483,0.00661642,0.0008113497,0.003206342,0.0004640359],"domain_scores_gemma":[0.9167004,0.05982092,0.01270627,0.001394014,0.008364991,0.001013431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008149169,0.00002191479,0.0002587428,0.9613469,0.0009668144,0.0000782662,0.0002672637,0.00006567823,0.0001491478,0.0004840297,0.002427998,0.03385184],"study_design_scores_gemma":[0.00006386689,0.00006374787,0.00059083,0.9852245,0.003475706,0.0001210175,0.0001952905,0.00004337362,0.00006361092,0.0002622073,0.00988165,0.00001423166],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001502373,0.983776,0.00118221,0.001327598,0.0008654029,0.007587266,0.001800412,0.00004711798,0.001911668],"genre_scores_gemma":[0.007710518,0.9753122,0.003761648,0.001258157,0.0003059425,0.009624016,0.001212892,0.00002307016,0.0007914461],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02655751,"threshold_uncertainty_score":0.135116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132127336770374,"score_gpt":0.4229139732767699,"score_spread":0.3097012395997325,"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."}}