{"id":"W4362587490","doi":"10.3390/curroncol30040304","title":"New Generation of 3D Virtual Models with Perfusional Zones: Perioperative Assistance for the Best Pedicle Management during Robotic Partial Nephrectomy","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Perfusion; Nephrectomy; Clamping; Perioperative; Lesion; Ischemia; Concordance; Kidney; Surgery; Radiology; Cardiology; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006839967,0.0005737481,0.0003911913,0.0007101395,0.0001183705,0.000847966,0.0005940248,0.0004459864,0.001357754],"category_scores_gemma":[0.002276898,0.0005347413,0.000675083,0.0004217572,0.000230248,0.000551232,0.001074504,0.0003385554,0.0002930276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350007,"about_ca_system_score_gemma":0.0006854844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009093818,"about_ca_topic_score_gemma":0.001134155,"domain_scores_codex":[0.9996537,0.0001196883,0.00002621511,0.00005126555,0.0001284466,0.00002062935],"domain_scores_gemma":[0.9996092,0.0001671871,0.00005850608,0.00008534134,0.00004761231,0.00003220406],"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":[0.0009741428,0.0002090775,0.02113419,0.000589588,0.0001820279,0.0009608087,0.0006347164,0.2370687,0.1151135,0.003276708,0.003556469,0.6163],"study_design_scores_gemma":[0.00009750085,0.0006561329,0.0140738,0.00009933707,0.0002369426,0.003485675,0.0001677812,0.9131415,0.04711239,0.003420357,0.01729052,0.0002180969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1595843,0.0007953932,0.8359689,0.0001905568,0.00006396368,0.0001442747,0.0003494401,0.001493053,0.001410198],"genre_scores_gemma":[0.6174365,0.000710587,0.3802804,0.00007727405,0.00003417018,0.0002556962,0.0003786047,0.0001666039,0.0006601309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001357754,"threshold_uncertainty_score":0.004542172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1813622355556355,"score_gpt":0.3947863338014454,"score_spread":0.2134240982458099,"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."}}