{"id":"W4281893295","doi":"10.3390/curroncol29060336","title":"Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Medicine; Elastography; Artificial intelligence; Prostate biopsy; Decision tree; Prostate; Logistic regression; Artificial neural network; Machine learning; Biopsy; Radiology; Ultrasound; Computer science; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004697344,0.0001888643,0.0003843874,0.0002807597,0.0005558,0.0000176777,0.000123294,0.00005486279,0.0001368562],"category_scores_gemma":[0.00009408688,0.0001814063,0.0002343572,0.0004552513,0.0001196653,0.00004916788,0.00008662521,0.0004888758,0.000007337133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290468,"about_ca_system_score_gemma":0.0002864999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685856,"about_ca_topic_score_gemma":0.00003280401,"domain_scores_codex":[0.9980665,0.0001541395,0.0004756395,0.0004689745,0.0003830119,0.0004516791],"domain_scores_gemma":[0.9990176,0.000217969,0.0001896802,0.0002318863,0.0001671919,0.0001756932],"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":[0.001917614,0.002054184,0.3618958,0.0004882615,0.0006030683,0.00001069262,0.006085841,0.0006399665,0.01733899,0.000257831,0.004463449,0.6042443],"study_design_scores_gemma":[0.003445125,0.006187402,0.02913545,0.001317486,0.002542461,0.0002262787,0.02933823,0.01261172,0.006621094,0.002016192,0.9053514,0.001207148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555633,0.005755219,0.02240383,0.001333341,0.01104564,0.00210918,0.0008543184,0.0003747426,0.0005604264],"genre_scores_gemma":[0.9950217,0.00009113555,0.002507728,0.0001044025,0.0006198746,0.001376871,0.0002194261,0.00003617454,0.00002267724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.900888,"threshold_uncertainty_score":0.7397532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1701386546711808,"score_gpt":0.3854650831460221,"score_spread":0.2153264284748413,"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."}}