{"id":"W1975467353","doi":"10.1118/1.3298010","title":"Assessment of image registration accuracy in three‐dimensional transrectal ultrasound guided prostate biopsy","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Image registration; Medicine; Medical imaging; Ultrasound; Radiology; Prostate; Prostate biopsy; Medical physics; Artificial intelligence; Computer science; Image (mathematics); Cancer; Internal medicine","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":[0.0003034144,0.0001488197,0.0003149137,0.00003427075,0.00002955005,0.00001077466,0.00007545308,0.00009570488,0.0002762292],"category_scores_gemma":[0.0002576845,0.0001144195,0.00009482572,0.0001887798,0.0002199132,0.0001122983,0.00001634915,0.0003945959,0.000006414229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007154323,"about_ca_system_score_gemma":0.0005784483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007559,"about_ca_topic_score_gemma":0.000145273,"domain_scores_codex":[0.998385,0.00002043175,0.0004029227,0.0002593973,0.0007185299,0.0002137712],"domain_scores_gemma":[0.9990773,0.0002421279,0.0001221332,0.0002522306,0.0001156727,0.0001904971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002505298,0.005881917,0.5476009,0.0004813357,0.0002378201,0.0005889257,0.0004391208,0.00001757719,0.3823943,0.006132257,0.002775667,0.05319961],"study_design_scores_gemma":[0.006276872,0.0006012319,0.8689852,0.0004155712,0.0001215282,0.0001713846,0.00001958273,0.001225672,0.1155607,0.006112076,0.000268329,0.0002419013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943067,0.00004146303,0.0008964208,0.002050655,0.0002273408,0.0005315033,0.0000380067,0.00002506751,0.001882848],"genre_scores_gemma":[0.9971194,0.00005101887,0.00214568,0.0002070002,0.000181961,0.00007683888,0.0001803171,0.00001655837,0.00002122477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3213843,"threshold_uncertainty_score":0.4665893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941802930053089,"score_gpt":0.3348255535845758,"score_spread":0.3154075242840449,"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."}}