{"id":"W3111841028","doi":"10.5489/cuaj.6984","title":"Case – 18F-DCFPyL-positron emission tomography/computed tomography (PET/CT) time of imaging","year":2020,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Western University","funders":"","keywords":"Positron emission tomography; Positron Emission Tomography-Computed Tomography; Tomography; Computed tomography; Preclinical imaging; Computed tomography laser mammography; Positron emission; Brain positron emission tomography; Nuclear medicine; PET-CT; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006636886,0.0001815117,0.0004814462,0.0002709372,0.0003179585,0.0000385071,0.0001260164,0.00004063356,0.0003806993],"category_scores_gemma":[0.00118442,0.0001443891,0.0002845088,0.0005415462,0.000125049,0.00007482785,0.00003111428,0.0008334423,0.00002872401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567743,"about_ca_system_score_gemma":0.0002323526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002987089,"about_ca_topic_score_gemma":0.00002142324,"domain_scores_codex":[0.9981193,0.0002642107,0.0004846474,0.000259322,0.0003635185,0.0005090277],"domain_scores_gemma":[0.997651,0.0002234655,0.0003205935,0.0001020189,0.0003099382,0.001392936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000560004,0.00006533139,0.898218,0.0000208821,0.0002180409,0.03475561,0.0002354034,0.000008360559,0.000857759,0.00001377494,0.06319049,0.0023604],"study_design_scores_gemma":[0.006864725,0.001876545,0.7054664,0.0002678239,0.001433293,0.1869789,0.0008288148,0.01289419,0.0009147531,0.0008665205,0.08059775,0.00101027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191453,0.001266707,0.0002619829,0.07673015,0.0002914032,0.0001849443,0.00004340292,0.00008340037,0.001992719],"genre_scores_gemma":[0.9852082,0.00003028393,0.0006929227,0.0135101,0.0004123899,0.000002664217,0.00002194111,0.00001313233,0.0001084321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927515,"threshold_uncertainty_score":0.5888015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259526422087714,"score_gpt":0.2304184460450388,"score_spread":0.2178231818241617,"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."}}