{"id":"W4210297674","doi":"10.3390/curroncol29020066","title":"Virtual Resection: A New Tool for Preparing for Nephron-Sparing Surgery in Wilms Tumor Patients","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Resection; Visualization; Surgery; Radiology; Computer science; Artificial intelligence","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":[0.001258203,0.0006018236,0.000245752,0.0008749919,0.0002335884,0.0006743916,0.0004389874,0.0003157555,0.00301778],"category_scores_gemma":[0.003396207,0.000245798,0.0004627836,0.0002918616,0.0003164212,0.0007771101,0.001168233,0.0002512031,0.0005105489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504288,"about_ca_system_score_gemma":0.0003282023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004372271,"about_ca_topic_score_gemma":0.0009049998,"domain_scores_codex":[0.9993932,0.0003483034,0.00003447182,0.00005965714,0.000128121,0.00003626721],"domain_scores_gemma":[0.9984974,0.0006828274,0.0002462665,0.0001622753,0.0001528896,0.0002584282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002790985,0.000817742,0.2353931,0.0007248763,0.0001481204,0.003231549,0.00462494,0.011972,0.06178553,0.001017178,0.006783935,0.67071],"study_design_scores_gemma":[0.0004547203,0.01197569,0.6802973,0.0005903741,0.0006626784,0.04760293,0.007325687,0.1252933,0.06422281,0.00319799,0.0573091,0.001067431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906629,0.0008529292,0.08608957,0.0003226923,0.00007688077,0.0002911612,0.0005751595,0.00138695,0.003775754],"genre_scores_gemma":[0.8991026,0.0004741162,0.09874236,0.00007983508,0.00003679479,0.0001976071,0.0002833327,0.000076958,0.001006476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00301778,"threshold_uncertainty_score":0.01009548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03973773825990831,"score_gpt":0.3292134484101865,"score_spread":0.2894757101502782,"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."}}