{"id":"W3215466523","doi":"10.1016/j.radonc.2021.11.026","title":"Performance of an integrated multimodality image guidance and dose-planning system supporting tumor-targeted HDR brachytherapy for prostate cancer","year":2021,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Brachytherapy; Medicine; Initialization; Rotation (mathematics); Radiation treatment planning; Prostate cancer; Nuclear medicine; Computer science; Radiology; Biomedical engineering; Artificial intelligence; Cancer; Radiation therapy","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":[0.0005449758,0.0004859598,0.0006488372,0.0002766201,0.0004872334,0.0008856175,0.0009410739,0.00072462,0.002106376],"category_scores_gemma":[0.001001879,0.0004842394,0.00022581,0.0003108632,0.0002340363,0.0004187817,0.0005135473,0.0002953336,0.0004356125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009309563,"about_ca_system_score_gemma":0.001997828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005948576,"about_ca_topic_score_gemma":0.004039587,"domain_scores_codex":[0.999734,0.00003764712,0.00001774749,0.00007944936,0.00009074165,0.00004046499],"domain_scores_gemma":[0.9995863,0.0001248991,0.00005314719,0.00004606863,0.000131257,0.0000583475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004181067,0.0005751839,0.007942673,0.0002177343,0.0001672842,0.0005678083,0.0004904591,0.03548887,0.8647825,0.0004539675,0.001892236,0.08324025],"study_design_scores_gemma":[0.0004196544,0.003237588,0.04973497,0.00002448403,0.0003965077,0.001022778,0.0001270499,0.3808453,0.5579376,0.0002098424,0.005865481,0.0001786701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348812,0.0004373289,0.05702814,0.0001730125,0.00009581669,0.0002595131,0.0004534881,0.004392175,0.002279352],"genre_scores_gemma":[0.9730734,0.00006448499,0.02519589,0.00009736302,0.00001225027,0.00004562882,0.0002016351,0.00017146,0.001137893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005948576,"threshold_uncertainty_score":0.01182789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188321548929348,"score_gpt":0.3441626775152784,"score_spread":0.3253305226223436,"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."}}