{"id":"W4400300696","doi":"10.1016/j.sopen.2024.06.013","title":"Revolutionizing medical education: Surgery takes the lead in virtual reality research","year":2024,"lang":"en","type":"article","venue":"Surgery Open Science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Medical education; Political science; China; Medicine; Public relations; Psychology; Library science; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01773361,0.0005096081,0.001083974,0.01087302,0.001290632,0.01045403,0.001195095,0.002705042,0.0126666],"category_scores_gemma":[0.06166225,0.0003348942,0.001544551,0.01742319,0.002603163,0.01029078,0.003370146,0.002020227,0.002929215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938884,"about_ca_system_score_gemma":0.007201779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637001,"about_ca_topic_score_gemma":0.002470701,"domain_scores_codex":[0.977491,0.01108884,0.003260707,0.001336367,0.006085596,0.0007374623],"domain_scores_gemma":[0.9124471,0.06098949,0.0146475,0.001970268,0.007858377,0.002087253],"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":[0.0005892971,0.0001188124,0.03590081,0.1344827,0.001534434,0.001071749,0.01082433,0.0003370958,0.002424735,0.03661343,0.0577081,0.7183945],"study_design_scores_gemma":[0.0001721237,0.0003747108,0.05035495,0.2238227,0.002578766,0.003850568,0.02389563,0.0002328201,0.001822835,0.02822277,0.6645525,0.0001197602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02359526,0.8706325,0.00408722,0.06253915,0.005167221,0.0001782914,0.001129266,0.0001256108,0.03254536],"genre_scores_gemma":[0.2594666,0.6877789,0.01378717,0.02621474,0.005927582,0.0003370424,0.001147385,0.0001012769,0.005239291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01773361,"threshold_uncertainty_score":0.09378546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2188699793082549,"score_gpt":0.4555810280386122,"score_spread":0.2367110487303573,"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."}}