{"id":"W4298145314","doi":"10.3389/fmed.2022.1025382","title":"Machines with vision for intraoperative guidance during gastrointestinal cancer surgery","year":2022,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; General surgery; Volume (thermodynamics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001411136,0.0006309506,0.0004298152,0.0009238168,0.0003219665,0.001807146,0.0007258377,0.001599432,0.01811066],"category_scores_gemma":[0.005038797,0.0003147697,0.0006019914,0.0003001215,0.0005834748,0.001438839,0.001284996,0.001415489,0.005835594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728651,"about_ca_system_score_gemma":0.0007412233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006550879,"about_ca_topic_score_gemma":0.001052122,"domain_scores_codex":[0.9991971,0.0002488824,0.00003592409,0.0001061885,0.0003296814,0.00008223261],"domain_scores_gemma":[0.9984688,0.0006962814,0.0001755569,0.00015401,0.0002792375,0.0002260845],"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":[0.002390116,0.0002653196,0.007438505,0.001588281,0.0001380308,0.001666918,0.000508399,0.006453117,0.1576469,0.004728104,0.06974141,0.7474349],"study_design_scores_gemma":[0.000734109,0.006459476,0.02938006,0.001713872,0.0005010932,0.02480384,0.0006036866,0.0828818,0.156019,0.0127383,0.6836887,0.0004759613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1571571,0.05488348,0.6235182,0.01512688,0.01068836,0.0007822027,0.001257262,0.01041198,0.1261745],"genre_scores_gemma":[0.6858594,0.02010319,0.2609939,0.004129495,0.003695418,0.0004213852,0.0008643024,0.001118025,0.02281496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01811066,"threshold_uncertainty_score":0.06058621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085620894861536,"score_gpt":0.3112653885945773,"score_spread":0.290409179645962,"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."}}