{"id":"W3179951239","doi":"10.1186/s13550-021-00844-0","title":"Short-duration dynamic [18F]DCFPyL PET and CT perfusion imaging to localize dominant intraprostatic lesions in prostate cancer: validation against digital histopathology and comparison to [18F]DCFPyL PET/MR at 120 minutes","year":2021,"lang":"en","type":"article","venue":"EJNMMI Research","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; St Joseph's Health Care; Western University; Circle Cardiovascular Imaging; London Health Sciences Centre; Lawson Health Research Institute","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Ontario Institute for Cancer Research","keywords":"Medicine; Histopathology; Prostate cancer; Prostate; Nuclear medicine; Cardiac imaging; Perfusion; Radiology; Magnetic resonance imaging; Cancer; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001587605,0.000490714,0.0003036449,0.000327644,0.0001826141,0.0004976618,0.0003088956,0.0004452751,0.0004222784],"category_scores_gemma":[0.001826566,0.0002888674,0.0002404564,0.0002084883,0.0003205356,0.0003017805,0.000217883,0.0003234476,0.0001911327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310773,"about_ca_system_score_gemma":0.0002654474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414058,"about_ca_topic_score_gemma":0.001703035,"domain_scores_codex":[0.9997067,0.0000855733,0.00001601964,0.00009788793,0.00006426588,0.00002965329],"domain_scores_gemma":[0.9995607,0.000151703,0.00008751609,0.00006943127,0.00009537999,0.00003543829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003494067,0.0004051368,0.05109319,0.0002526316,0.0002486876,0.0002578009,0.0001976852,0.01122887,0.8623933,0.00008438011,0.0003057116,0.07003864],"study_design_scores_gemma":[0.0001014608,0.005887189,0.3934827,0.00004085562,0.0005996354,0.003878216,0.0001913812,0.1165656,0.4766087,0.0001358369,0.002434858,0.00007350289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786369,0.001444439,0.01899938,0.00003718352,0.00001467653,0.00006502038,0.0001672763,0.0001711073,0.0004641332],"genre_scores_gemma":[0.9920488,0.0003076442,0.006970674,0.00002755881,0.000006548276,0.00004411952,0.0002487717,0.00004044054,0.0003055908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001587605,"threshold_uncertainty_score":0.008396149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958792992786869,"score_gpt":0.3786080725469556,"score_spread":0.3390201426190869,"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."}}