{"id":"W2795561434","doi":"10.1016/j.juro.2018.02.2792","title":"PD58-04 MODELING AUTOMATED ASSESSMENT OF SURGICAL PERFORMANCE UTILIZING COMPUTER VISION: PROOF OF CONCEPT","year":2018,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Domtar (Canada); Royal College of Physicians and Surgeons of Canada; Medical Council of Canada","funders":"","keywords":"Medicine; Context (archaeology); Artificial intelligence; Cystectomy; Computer vision; Surgery; Computer science; Internal medicine","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":[0.0022775,0.0008367714,0.0004327039,0.000596832,0.0002369231,0.00109873,0.001409687,0.0009882771,0.02457446],"category_scores_gemma":[0.002771565,0.0003598655,0.0006377118,0.0001894403,0.0005177591,0.0008540408,0.001135229,0.001172189,0.005644657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005085003,"about_ca_system_score_gemma":0.001354288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487275,"about_ca_topic_score_gemma":0.001095075,"domain_scores_codex":[0.9990923,0.00009262369,0.00003335973,0.0001031554,0.0006195638,0.0000589651],"domain_scores_gemma":[0.9979101,0.000455442,0.0001776561,0.0002767041,0.0009615077,0.0002186124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001607536,0.003292377,0.01022433,0.001805642,0.0002468467,0.000830813,0.0004264406,0.08201728,0.3956741,0.01249181,0.08718148,0.4042013],"study_design_scores_gemma":[0.0009372021,0.009387038,0.0113698,0.0003920063,0.000186275,0.0008662654,0.0002025744,0.4628945,0.3543911,0.002993218,0.1561468,0.0002332827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09172321,0.0009313774,0.852505,0.001354046,0.00169426,0.003427866,0.003014664,0.01388858,0.03146112],"genre_scores_gemma":[0.4791777,0.001150068,0.4730377,0.0005809282,0.0001599278,0.004045344,0.002871206,0.001225529,0.03775157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02457446,"threshold_uncertainty_score":0.08220977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264977838754259,"score_gpt":0.3517216338811956,"score_spread":0.3190718554936531,"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."}}