{"id":"W2079356550","doi":"10.1118/1.4773043","title":"A system for MRI‐guided transperineal delivery of needles to the prostate for focal therapy","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Centre for Imaging Technology Commercialization; University Health Network; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Scanner; Magnetic resonance imaging; Interventional magnetic resonance imaging; Ablation; Medicine; Prostate; Visualization; Radiology; Biomedical engineering; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007450495,0.00007741842,0.0001281615,0.000008341968,0.00004246308,0.00001166034,0.0001561821,0.00003715861,0.000006201131],"category_scores_gemma":[0.0000127222,0.00005153887,0.00007482599,0.00008095948,0.00002845492,0.00002353071,0.000007134564,0.00004827273,0.000008856351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001402105,"about_ca_system_score_gemma":0.00002012657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002396195,"about_ca_topic_score_gemma":0.000002548627,"domain_scores_codex":[0.9994645,0.000003640995,0.0001662708,0.00008082431,0.0001369856,0.0001478306],"domain_scores_gemma":[0.9995124,0.0001795989,0.00001462025,0.0001389851,0.00007274068,0.00008165579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000101483,0.000444474,0.0003150274,0.002336748,0.0005404075,8.620339e-7,0.008156899,0.2069361,0.02405914,0.03569815,0.12598,0.5954307],"study_design_scores_gemma":[0.002074055,0.0002646415,0.0005805175,0.0001500579,0.00004589717,0.000001845815,0.0004056664,0.908051,0.05327785,0.003971884,0.0308276,0.0003490426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1009361,0.00008513211,0.8956109,0.001329092,0.0001526873,0.001598448,0.00005237167,0.0001155549,0.000119756],"genre_scores_gemma":[0.9963241,0.00002014154,0.001945223,0.0001360953,0.0003005667,0.001216598,0.00001443282,0.00002435584,0.00001849606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.895388,"threshold_uncertainty_score":0.2101694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181896271990117,"score_gpt":0.2413829416551693,"score_spread":0.2231933144561576,"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."}}