{"id":"W4403460350","doi":"10.1177/08465371241291703","title":"Less Is More: Enhancing Prostate MRI Without Intravenous Contrast","year":2024,"lang":"en","type":"editorial","venue":"Canadian Association of Radiologists Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Intravenous contrast; Prostate; Contrast (vision); Radiology; Nuclear medicine; Medical physics; Computed tomography; Internal medicine; Artificial intelligence","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":[0.00740463,0.004948702,0.005537247,0.005635396,0.004531836,0.00752243,0.004729723,0.03465058,0.01119971],"category_scores_gemma":[0.03581832,0.002369779,0.003876243,0.002323305,0.004045639,0.004222042,0.001780579,0.03215182,0.009154969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006057801,"about_ca_system_score_gemma":0.003962754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005891926,"about_ca_topic_score_gemma":0.01775594,"domain_scores_codex":[0.99423,0.001181711,0.0008997619,0.0006756354,0.00255727,0.0004556105],"domain_scores_gemma":[0.9720987,0.01256554,0.001695819,0.0005886381,0.00908549,0.00396584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007005287,0.00001396279,0.00004569596,0.0002916051,0.00003420971,0.0003410128,0.000009911155,0.00002451374,0.00004994478,0.0001770332,0.9936091,0.005332937],"study_design_scores_gemma":[0.0003430536,0.00009237415,0.0008855977,0.001038277,0.0003016244,0.001960417,0.00009680349,0.0003393171,0.0001728669,0.001134911,0.9935616,0.00007309034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004296742,0.00633298,0.00009635353,0.04350689,0.9487529,0.0000196538,0.00003317553,0.00004247344,0.001172588],"genre_scores_gemma":[0.0003206304,0.003279437,0.00007618043,0.02366006,0.9700755,0.00001462811,0.00001476808,0.00001673124,0.002542074],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03465058,"threshold_uncertainty_score":0.04395258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009241392022869563,"score_gpt":0.2712632798210969,"score_spread":0.2620218877982273,"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."}}