{"id":"W4407745926","doi":"10.2214/ajr.24.32588","title":"MRI in Prostate Cancer Screening: A Review and Recommendations, From the <i>AJR</i> Special Series on Screening","year":2025,"lang":"en","type":"review","venue":"American Journal of Roentgenology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Medicine; Prostate cancer; Prostate cancer screening; Medical physics; Series (stratigraphy); Prostate; Cancer detection; Cancer; Radiology; Gynecology; Prostate-specific antigen; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246008,0.001026834,0.001503658,0.007200599,0.0003231181,0.001256374,0.001035296,0.001170482,0.004458836],"category_scores_gemma":[0.003941432,0.0004263344,0.001142303,0.006261177,0.0004580124,0.001880139,0.0008522065,0.001350797,0.001783664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009770739,"about_ca_system_score_gemma":0.002897211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039059,"about_ca_topic_score_gemma":0.006011047,"domain_scores_codex":[0.9995245,0.00008322031,0.0001469594,0.00006863742,0.0001465532,0.00003025814],"domain_scores_gemma":[0.9982275,0.0008879667,0.000311309,0.0000358123,0.0004385387,0.00009885264],"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":[0.00007193809,0.0000513864,0.0003043975,0.07582211,0.0001821738,0.0001974177,0.00008570278,0.0002405713,0.000473861,0.001360535,0.1292506,0.7919595],"study_design_scores_gemma":[0.00002903476,0.000127434,0.002096429,0.0641228,0.0005869925,0.001876641,0.0001020874,0.00009278009,0.0001561676,0.001207583,0.9295681,0.00003398089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000376792,0.9985451,0.00004383459,0.0004669557,0.0004794478,0.00000870705,0.00003039653,0.000005374873,0.0003826337],"genre_scores_gemma":[0.00013799,0.9989445,0.0000992933,0.0003335192,0.0003082622,0.000007054879,0.00003314586,0.000001308376,0.0001350292],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007200599,"threshold_uncertainty_score":0.0149163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996198288768202,"score_gpt":0.3541880563636929,"score_spread":0.3242260734760108,"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."}}