{"id":"W4318214527","doi":"10.1515/cclm-2023-0008","title":"Individual risk prediction of high grade prostate cancer based on the combination between total prostate-specific antigen (PSA) and free to total PSA ratio","year":2023,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nomogram; Medicine; Prostate cancer; Prostate-specific antigen; Logistic regression; Urology; Prostate; Prostate biopsy; Biopsy; Oncology; Internal medicine; Cancer","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":[0.00219096,0.0008572257,0.0006281937,0.001711995,0.0002194651,0.001118675,0.000460672,0.0006274437,0.001431769],"category_scores_gemma":[0.006449361,0.0002439698,0.0010411,0.0007782725,0.0002769658,0.0005361129,0.0006533256,0.0006058184,0.0004905592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306314,"about_ca_system_score_gemma":0.0004526571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180992,"about_ca_topic_score_gemma":0.001599688,"domain_scores_codex":[0.9988181,0.0005199749,0.0000942187,0.0001860515,0.0002945956,0.00008705092],"domain_scores_gemma":[0.9964687,0.001661487,0.001034762,0.0002315798,0.0003520357,0.0002514418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005709321,0.00004974811,0.9827272,0.00003305492,0.0003053988,0.00005625809,0.00002748885,0.004184043,0.0006455779,0.00006716652,0.0002415657,0.01109143],"study_design_scores_gemma":[0.00007850814,0.0008641271,0.9189333,0.00004042571,0.0006146862,0.001186307,0.00009195555,0.0740037,0.002311071,0.0008404228,0.0009672787,0.00006827967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863023,0.0009144741,0.01069891,0.0001364311,0.00002285604,0.00005179312,0.0005322362,0.0001378191,0.001203242],"genre_scores_gemma":[0.9970424,0.0000868626,0.002437016,0.00001180127,0.00001249393,0.00001389391,0.000249608,0.000007798467,0.0001381035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00219096,"threshold_uncertainty_score":0.01158708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04847670547702499,"score_gpt":0.3243884824784071,"score_spread":0.2759117770013821,"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."}}