{"id":"W2790415399","doi":"10.1146/annurev-bioeng-062117-120917","title":"Advanced Endoscopic Navigation: Surgical Big Data, Methodology, and Applications","year":2018,"lang":"en","type":"review","venue":"Annual Review of Biomedical Engineering","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Intuitive Surgical; Varian Medical Systems","keywords":"Endoscopy; Context (archaeology); Cystoscopy; Medical physics; Endoscopic retrograde cholangiopancreatography; Navigation system; Laparoscopy; Medicine; Computer science; Radiology; Artificial intelligence; Surgery; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00125308,0.0003342312,0.002307669,0.0001702443,0.00003383565,0.000006055628,0.0002868962,0.0003111,0.0001173817],"category_scores_gemma":[0.0009505731,0.0002438832,0.0002572333,0.0007609116,0.0002476848,0.00006302977,0.0002469663,0.0004490351,0.00003213993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000318385,"about_ca_system_score_gemma":0.0001890751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002036688,"about_ca_topic_score_gemma":5.574875e-8,"domain_scores_codex":[0.9975293,0.0001282976,0.00113546,0.0005519324,0.0003903265,0.000264723],"domain_scores_gemma":[0.9971315,0.00137056,0.0002887412,0.0007059092,0.0001264528,0.0003768044],"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":[0.000002316313,0.00003049473,3.614875e-7,0.1322701,0.0001129755,0.00002349087,0.000005820956,7.734778e-8,1.131535e-7,0.0001506264,0.00009717211,0.8673065],"study_design_scores_gemma":[0.000482842,0.00007919213,0.000002020528,0.130331,0.000750781,0.0002122507,0.00000525515,0.00004515041,2.725749e-7,0.000003625616,0.8679387,0.0001489104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.690554e-7,0.9942666,0.003743443,0.00008390807,0.0002526757,0.001005882,0.0002266624,0.00007705209,0.0003429307],"genre_scores_gemma":[0.000006714295,0.9906518,0.005724025,0.00009496561,0.001014756,0.0001319818,0.002289462,0.00004047884,0.0000457736],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8678415,"threshold_uncertainty_score":0.994527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280840234473304,"score_gpt":0.4291649476682018,"score_spread":0.3010809242208715,"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."}}