{"id":"W2187219216","doi":"10.1016/j.clinimag.2015.11.023","title":"Comparison of high-resolution T1W 3D GRE (LAVA) with 2-point Dixon fat/water separation (FLEX) to T1W fast spin echo (FSE) in prostate cancer (PCa)","year":2015,"lang":"en","type":"article","venue":"Clinical Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Image quality; FLEX; Nuclear medicine; Lava; Artifact (error); Wilcoxon signed-rank test; Magnetic resonance imaging; Fast spin echo; Radiology; Biomedical engineering; Artificial intelligence; Internal medicine; Mann–Whitney U test; Computer science; Geology; Image (mathematics)","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":[0.003463093,0.000503301,0.0005116138,0.001051375,0.0002564342,0.00134858,0.0006976604,0.001610863,0.001643615],"category_scores_gemma":[0.00727292,0.0003308241,0.0003864454,0.0005777307,0.0003077463,0.001442571,0.0004815657,0.0005720714,0.0004226152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003849078,"about_ca_system_score_gemma":0.0004660815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276097,"about_ca_topic_score_gemma":0.00244503,"domain_scores_codex":[0.9992906,0.0004335896,0.00004958782,0.00009502126,0.0000696307,0.00006155774],"domain_scores_gemma":[0.9977887,0.001421987,0.0001525251,0.0001322564,0.0003171004,0.0001874749],"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":[0.2315293,0.002418025,0.1642448,0.001818569,0.001767015,0.00201252,0.001015137,0.008629955,0.1204447,0.001089427,0.003135411,0.4618951],"study_design_scores_gemma":[0.00376923,0.02749367,0.8115975,0.0002514659,0.003300563,0.007837981,0.001171648,0.06055884,0.07406273,0.001724446,0.007944853,0.0002871529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796897,0.01096432,0.005250954,0.0005490466,0.0001748225,0.00007010464,0.0002629445,0.0001941205,0.002843871],"genre_scores_gemma":[0.9946979,0.00140505,0.002753409,0.000114937,0.00006164132,0.00001605255,0.0002334963,0.00006014373,0.0006572843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003463093,"threshold_uncertainty_score":0.01831478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07807734885703782,"score_gpt":0.448395118880343,"score_spread":0.3703177700233052,"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."}}