{"id":"W2014167183","doi":"10.1118/1.3560883","title":"Evaluation of intersession 3D‐TRUS to 3D‐TRUS image registration for repeat prostate biopsies","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Image registration; Computer science; Medicine; Fiducial marker; Segmentation; Biopsy; Artificial intelligence; Context (archaeology); Prostate biopsy; Computer vision; Radiology; Prostate; Image (mathematics); Geology; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007813178,0.0001414209,0.0002804974,0.0000392216,0.00004514286,0.00000828115,0.0000697129,0.00007155012,0.0001827966],"category_scores_gemma":[0.0006301438,0.0001053402,0.00008752594,0.0001409014,0.0001070138,0.0001082782,0.00003655429,0.00008899954,0.0000186505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928679,"about_ca_system_score_gemma":0.0003363629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109618,"about_ca_topic_score_gemma":0.00001778929,"domain_scores_codex":[0.9981528,0.00004994246,0.0003466113,0.0002834594,0.0009740285,0.0001931782],"domain_scores_gemma":[0.9987214,0.00005724455,0.0001533544,0.0002994932,0.0005670326,0.0002015111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000986681,0.001583952,0.00563248,0.0004301773,0.0002336895,0.00002580448,0.004641746,0.000005859108,0.005648135,0.0003420828,0.007834138,0.9726353],"study_design_scores_gemma":[0.01489799,0.007802502,0.04405719,0.003579969,0.002640788,0.00002697705,0.0008054022,0.007918754,0.898236,0.01503514,0.004363158,0.0006361027],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654661,0.0004557917,0.01804733,0.002546601,0.0007491449,0.003671516,0.0001031449,0.00009249741,0.00886786],"genre_scores_gemma":[0.9949468,0.0001087238,0.003672212,0.0003503928,0.0002144514,0.0004425381,0.0001394725,0.00002227466,0.0001031163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9719992,"threshold_uncertainty_score":0.4295649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07592179242896559,"score_gpt":0.3579887833868465,"score_spread":0.2820669909578809,"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."}}