{"id":"W2100103332","doi":"10.1148/radiographics.20.2.g00mc19559","title":"Clinical Utility of Three-dimensional US","year":2000,"lang":"en","type":"article","venue":"Radiographics","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Modality (human–computer interaction); Medical physics; Radiology; Perspective (graphical); Artificial intelligence; Computer science","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":[0.0002285783,0.00007311616,0.000190206,0.00007786183,0.00001911528,0.000001231433,0.0001214452,0.0002386375,0.0006382713],"category_scores_gemma":[0.00002422549,0.00006741572,0.0001465561,0.0003385069,0.000317338,0.0000228278,0.000008961601,0.0003113314,0.00001549616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002373651,"about_ca_system_score_gemma":0.00001106227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001111445,"about_ca_topic_score_gemma":0.00002188523,"domain_scores_codex":[0.999333,0.00001488831,0.0002646959,0.0001074779,0.0001263789,0.0001536042],"domain_scores_gemma":[0.9995977,0.00007837118,0.00001362572,0.0002147816,0.00001537906,0.00008018377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000271352,0.0001405628,0.2479282,0.00005196776,0.0001786058,0.00002549837,0.00001134971,0.0001766795,0.0000149662,0.004315333,0.008864263,0.7382655],"study_design_scores_gemma":[0.0008073843,0.0001248506,0.3786456,0.00004398111,0.00005775861,0.00002898634,0.00000395167,0.1047338,0.0002234468,0.01124977,0.5038231,0.0002573589],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902129,0.002226122,0.000672908,0.00006315728,0.0002165074,0.00005799107,0.000007812368,0.0002856408,0.006256914],"genre_scores_gemma":[0.9971902,0.001490989,0.001168148,0.00007122401,0.00004718181,0.00000227484,0.000003775533,0.000008932266,0.0000172245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7380081,"threshold_uncertainty_score":0.6988623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699205752213364,"score_gpt":0.2613121194632946,"score_spread":0.244320061941161,"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."}}