{"id":"W4399964193","doi":"10.1016/j.ijrobp.2024.06.007","title":"Clinical Impact of Contouring Variability for Prostate Cancer Tumor Boost","year":2024,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Moores Cancer Center, UC San Diego Health; American College of Radiation Oncology; American Society for Radiation Oncology; Congressionally Directed Medical Research Programs; Canadian Association of Radiation Oncology; Radiological Society of North America; National Cancer Institute; National Institutes of Health; Prostate Cancer Foundation; U.S. Department of Defense","keywords":"Contouring; Medicine; Prostate cancer; Radiation therapy; Prostate; Randomized controlled trial; Metric (unit); Protocol (science); Clinical trial; Radiation treatment planning; Nuclear medicine; Radiology; Medical physics; Cancer; Surgery; Internal medicine; Pathology; Computer science","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":[0.002285511,0.0003060277,0.0004527135,0.0004134692,0.0002593889,0.001637056,0.0004003164,0.000623194,0.00168336],"category_scores_gemma":[0.02344912,0.0002544913,0.0006292423,0.0005424951,0.0003146047,0.0005140856,0.0006043562,0.0009526673,0.0003255717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005969003,"about_ca_system_score_gemma":0.0004515818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00131887,"about_ca_topic_score_gemma":0.0009101224,"domain_scores_codex":[0.9986619,0.0004732919,0.00008384957,0.0001830308,0.0005175933,0.00008034174],"domain_scores_gemma":[0.9861192,0.01104544,0.001071247,0.0008932582,0.0006693042,0.0002014614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01970924,0.000471395,0.23305,0.000580786,0.0007995379,0.0008480353,0.000769834,0.1985323,0.1048603,0.002022616,0.002957925,0.4353981],"study_design_scores_gemma":[0.000282823,0.006271738,0.6200533,0.0001706841,0.001035718,0.003921432,0.0004004206,0.2942332,0.06204513,0.003967998,0.007358544,0.0002589023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461257,0.007283158,0.03780934,0.0008448703,0.0003158667,0.00004162625,0.0007362614,0.0009414026,0.005901694],"genre_scores_gemma":[0.997781,0.0001353282,0.001287493,0.0000563694,0.00003054218,0.000006120063,0.000141068,0.0002592735,0.0003028496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002285511,"threshold_uncertainty_score":0.01208711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558242092982829,"score_gpt":0.4289069071161379,"score_spread":0.3933244861863097,"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."}}