{"id":"W4250487237","doi":"10.1016/j.jvir.2018.12.456","title":"04:21 PM Abstract No. 382 MRI-fused cone-beam CT-guided biopsy of the prostate as a safe and novel method of prostate biopsy","year":2019,"lang":"en","type":"article","venue":"Journal of Vascular and Interventional Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Radiology; Prostate cancer; Fluoroscopy; Biopsy; Prostate; Target lesion; Prostate biopsy; Cone beam computed tomography; Cancer; Internal medicine; Computed tomography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005479964,0.0006277972,0.0004490906,0.001054337,0.0007341872,0.002283152,0.0006359118,0.001209097,0.4341975],"category_scores_gemma":[0.0009301389,0.0004158209,0.0004744674,0.0003321052,0.0006030817,0.0004791282,0.0007273656,0.001499184,0.1626821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007267929,"about_ca_system_score_gemma":0.0004797794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439738,"about_ca_topic_score_gemma":0.004192928,"domain_scores_codex":[0.9996498,0.00004309061,0.00001088413,0.00005191289,0.000194456,0.00004985829],"domain_scores_gemma":[0.9994973,0.0001074453,0.00002052503,0.0000425868,0.0001755831,0.0001564924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001990156,0.0003404005,0.001464846,0.0004927515,0.00003345642,0.001017928,0.000134608,0.0004642243,0.03996488,0.003345622,0.8147132,0.1360379],"study_design_scores_gemma":[0.0002496724,0.0007790547,0.01472188,0.000372528,0.00002517154,0.002011715,0.00007292293,0.002829494,0.02404015,0.001848767,0.9529939,0.0000547559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02163835,0.009843542,0.0136366,0.01687844,0.03654337,0.001182971,0.003399735,0.007682809,0.8891942],"genre_scores_gemma":[0.0488008,0.001722457,0.00340563,0.002097165,0.005461955,0.0001082561,0.0007533703,0.001155462,0.9364949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4341975,"threshold_uncertainty_score":0.8070486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984228164524959,"score_gpt":0.3134206229616103,"score_spread":0.2935783413163607,"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."}}