{"id":"W4232127178","doi":"10.5489/cuaj.370","title":"PSA density: The comeback kid?","year":2013,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Urological Association","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004519726,0.000691187,0.001713666,0.002305774,0.003497429,0.005329495,0.001959934,0.007579002,0.02513786],"category_scores_gemma":[0.02662772,0.0006267393,0.0007520259,0.002151137,0.003917344,0.01269349,0.002966757,0.01285282,0.006576534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004291746,"about_ca_system_score_gemma":0.008013635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04351041,"about_ca_topic_score_gemma":0.0618524,"domain_scores_codex":[0.997635,0.0004146342,0.0002741653,0.000369055,0.0007583004,0.0005488567],"domain_scores_gemma":[0.9872525,0.003039716,0.0008235851,0.0003543339,0.004225691,0.004304312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001711322,0.000101577,0.02036482,0.0003977229,0.00005327099,0.003194917,0.0009028999,0.0001328864,0.0002356131,0.01377694,0.7288369,0.2318313],"study_design_scores_gemma":[0.0001252464,0.0002990912,0.03096699,0.005465165,0.0002534222,0.02935959,0.0174918,0.0007845842,0.0003834302,0.08356479,0.8309076,0.0003983034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004382261,0.05979783,0.0007946484,0.9117227,0.01060178,0.00001346626,0.00050141,0.0001518459,0.01203412],"genre_scores_gemma":[0.195373,0.1668723,0.004508921,0.5208278,0.08942446,0.00006572688,0.001311372,0.0003980003,0.02121837],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04351041,"threshold_uncertainty_score":0.08651429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011188859701731,"score_gpt":0.2197853589296382,"score_spread":0.2096734703326208,"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."}}