{"id":"W4388069252","doi":"10.1002/ags3.12751","title":"Surgical education through integration of robotic telesurgical technology and AI","year":2023,"lang":"en","type":"editorial","venue":"Annals of Gastroenterological Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Agency for Medical Research and Development","keywords":"Robotic surgery; Digitization; Robotics; Artificial intelligence; Laparoscopic surgery; Surgery; Robot; Medicine; Computer science; General surgery; Medical physics; Computer vision; Laparoscopy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008569698,0.0003733728,0.001786492,0.0006521037,0.00004640382,0.00001672445,0.0001321067,0.001213461,0.0001528933],"category_scores_gemma":[0.00400462,0.0002819652,0.0005205555,0.0007408325,0.0005686916,0.0001006487,0.0001300765,0.0009814088,0.00001154301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002208322,"about_ca_system_score_gemma":0.0002526045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002986868,"about_ca_topic_score_gemma":0.000004203789,"domain_scores_codex":[0.9967006,0.0002069496,0.001261073,0.0005745661,0.0007611035,0.000495664],"domain_scores_gemma":[0.9946232,0.003445694,0.0005916226,0.0003284958,0.0008114394,0.0001994947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005924292,0.002130983,0.05492692,0.000803033,0.0004671412,0.0003347289,0.00006964681,0.00005936505,0.00008214458,0.001402992,0.8696967,0.06410207],"study_design_scores_gemma":[0.003973422,0.003647638,0.04485008,0.004060393,0.0004792505,0.0001362069,0.0002898976,0.0003365864,0.0006050617,0.004356622,0.9366205,0.0006443716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.586861,0.001609787,0.000453866,0.009296456,0.3993968,0.0007599828,0.0001261593,0.0004136651,0.001082311],"genre_scores_gemma":[0.9244526,0.002027039,0.0002008588,0.0003653398,0.07171032,0.0000481574,0.0009244263,0.00005577693,0.000215486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3375916,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07123248695932191,"score_gpt":0.3754902522469377,"score_spread":0.3042577652876157,"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."}}