{"id":"W4385379973","doi":"10.1007/s00464-023-10288-3","title":"SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)","year":2023,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Artificial Intelligence in Medicine (Canada); University of Toronto; McMaster University","funders":"Universitätsklinikum Köln","keywords":"Data governance; Data quality; Documentation; Metadata; Data sharing; Standardization; Knowledge management; Quality (philosophy); Corporate governance; Data collection; Delphi method; Computer science; Data science; Process management; Business; Medicine; Engineering; Operations management; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.004662586,0.0002373738,0.0005985133,0.0004620548,0.0002756028,0.0001621221,0.0001524098,0.0002819274,0.0002514631],"category_scores_gemma":[0.002185515,0.0001999996,0.00008589877,0.001058966,0.0004894623,0.0002550685,0.0002337883,0.0007918872,0.00003187358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006110839,"about_ca_system_score_gemma":0.0002945959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000131077,"about_ca_topic_score_gemma":0.0001277309,"domain_scores_codex":[0.995776,0.0008462119,0.001255188,0.001009562,0.0005608106,0.0005522161],"domain_scores_gemma":[0.9852173,0.01337416,0.000136968,0.0005736956,0.0002413575,0.0004565154],"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":[0.0087369,0.001139126,0.04237129,0.0001615846,0.0001036318,0.0003406746,0.0002389108,0.00006257422,0.00002796534,0.1148156,0.001440996,0.8305607],"study_design_scores_gemma":[0.03336455,0.00246711,0.05651062,0.000741487,0.0001202809,0.0001858437,0.003682327,0.02518406,0.0007622053,0.0558669,0.8200426,0.001072055],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867223,0.0001183951,0.00003358634,0.009591012,0.0005453451,0.001150435,0.0002582265,0.0001241814,0.001456511],"genre_scores_gemma":[0.9954097,0.0009540264,0.000715508,0.0001637829,0.0005871132,0.00008796857,0.001732451,0.00003073623,0.0003187693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8294886,"threshold_uncertainty_score":0.8155749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5707891186642198,"score_gpt":0.5737439442815103,"score_spread":0.002954825617290546,"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."}}