{"id":"W3203206766","doi":"10.1016/j.annonc.2021.08.736","title":"1848P Feasible 3D printed models of renal cell cancer with venous thrombus extension for surgical planning and simulation: Phase I NCT03738488","year":2021,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ignyta; European Society for Medical Oncology; Eisai; MacroGenics; Grifols; Actuate Therapeutics; Servier; Tarveda Therapeutics; Sierra Oncology; Incyte; F. Hoffmann-La Roche; Taiho Pharmaceutical; Regeneron Pharmaceuticals; Array BioPharma; Sanofi; GlaxoSmithKline; Amgen; Pfizer; Centro de Investigación Biomédica en Red de Cáncer; Carrick Therapeutics; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Surgical planning; Renal cell carcinoma; Radiology; Thrombus; Radiological weapon; Clinical trial; Radiation treatment planning; Cancer; Surgery; Medical physics; Oncology; Internal medicine; Radiation therapy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008333347,0.0009024845,0.0005596944,0.0003325428,0.0002116112,0.001247259,0.00154382,0.001595244,0.01648729],"category_scores_gemma":[0.003182375,0.0006948824,0.001308737,0.0003454233,0.0004697552,0.0003551522,0.0006600711,0.001129427,0.002768998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223836,"about_ca_system_score_gemma":0.001871111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006584842,"about_ca_topic_score_gemma":0.005911772,"domain_scores_codex":[0.9996673,0.00009934061,0.00001744827,0.0000420131,0.0001504952,0.00002348127],"domain_scores_gemma":[0.9989543,0.0006712727,0.00007330115,0.00009946449,0.0001455139,0.00005608329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002660614,0.00160184,0.003364937,0.001503092,0.000349618,0.001078119,0.0003861893,0.8916209,0.01517642,0.004003477,0.01931537,0.05893933],"study_design_scores_gemma":[0.001827152,0.002083242,0.002283043,0.0002420726,0.000258869,0.000995348,0.0001517153,0.9412087,0.01581989,0.003614304,0.03139237,0.0001233924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5323007,0.004010718,0.3388776,0.003667881,0.001438098,0.006329079,0.04936663,0.00608578,0.05792353],"genre_scores_gemma":[0.872291,0.001718231,0.09329697,0.0009658608,0.0001156393,0.003360298,0.01541152,0.0008832598,0.01195723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648729,"threshold_uncertainty_score":0.0551554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.193958846624107,"score_gpt":0.4386280661718895,"score_spread":0.2446692195477825,"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."}}