{"id":"W3179324327","doi":"10.1007/s00464-021-08578-9","title":"SAGES consensus recommendations on an annotation framework for surgical video","year":2021,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"Society of American Gastrointestinal and Endoscopic Surgeons","keywords":"Annotation; Standardization; Delphi method; Computer science; Process (computing); Delphi; Medicine; Knowledge management; Data science; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1023123,0.002243366,0.002734482,0.01878029,0.006508039,0.01326334,0.01400645,0.02488558,0.02666678],"category_scores_gemma":[0.2430667,0.002432409,0.008755087,0.009253239,0.006321507,0.009666367,0.01234817,0.01824393,0.02406409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009334832,"about_ca_system_score_gemma":0.05166638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04501884,"about_ca_topic_score_gemma":0.04578982,"domain_scores_codex":[0.9195157,0.02994684,0.01779294,0.004199862,0.0238872,0.00465751],"domain_scores_gemma":[0.6769772,0.1175372,0.01174993,0.01826717,0.1609017,0.01456681],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002613291,0.0002162666,0.00113211,0.00696897,0.0002414848,0.0006782578,0.003539812,0.001706636,0.002519907,0.04022853,0.7542761,0.1882305],"study_design_scores_gemma":[0.0001437633,0.00009078468,0.002251042,0.02714141,0.0003745431,0.0004465695,0.002154126,0.001467189,0.00229701,0.03099133,0.9324113,0.0002308712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00445415,0.03025516,0.3635861,0.4036874,0.04818983,0.007157989,0.01646893,0.01172479,0.1144756],"genre_scores_gemma":[0.03136001,0.02369434,0.7035385,0.1161567,0.008758709,0.01065256,0.03775655,0.006075906,0.06200674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8976877,"threshold_uncertainty_score":0.5410858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06193624367789346,"score_gpt":0.400865471592972,"score_spread":0.3389292279150786,"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."}}