{"id":"W3011737866","doi":"10.2196/17647","title":"Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Seoul National University; National Research Foundation","keywords":"Medicine; Laparoscopic surgery; Medical physics; General surgery; Laparoscopy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006661715,0.0001932873,0.0004180717,0.001913411,0.0006107545,0.001044422,0.0005399809,0.0008201051,0.002495971],"category_scores_gemma":[0.01890397,0.0004561111,0.0006942708,0.001979131,0.000647368,0.002195971,0.001382154,0.001005932,0.0006070345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000679171,"about_ca_system_score_gemma":0.0008524732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435148,"about_ca_topic_score_gemma":0.00176317,"domain_scores_codex":[0.9952896,0.001879659,0.001082471,0.0004202264,0.0008302653,0.0004977832],"domain_scores_gemma":[0.9770665,0.008890981,0.008388761,0.0007642742,0.002574886,0.00231453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006632801,0.0002886518,0.9941987,0.000082781,0.00004941538,0.00005786871,0.001612492,0.00003967916,0.00007323478,0.00004269369,0.0004698933,0.003018296],"study_design_scores_gemma":[0.00002702925,0.0005487793,0.9875506,0.00009762518,0.00003223001,0.0002619413,0.009445077,0.0006158917,0.00008148367,0.00004049862,0.001277794,0.00002100149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985259,0.0001213591,0.0001592547,0.0002256866,0.000008067632,0.00007374176,0.0003122639,0.000003666887,0.000570081],"genre_scores_gemma":[0.9984427,0.0001937186,0.000305577,0.0003624502,0.00001303335,0.0001586352,0.0003547161,0.00000355422,0.0001655363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006661715,"threshold_uncertainty_score":0.03523093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2141554092874582,"score_gpt":0.4438864534504521,"score_spread":0.229731044162994,"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."}}