{"id":"W4396229173","doi":"10.34133/cbsystems.0129","title":"Advances in Prostate Cancer Biomarkers and Probes","year":2024,"lang":"en","type":"review","venue":"Cyborg and Bionic Systems","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Prostate cancer; Biomarker; Medicine; Biomarker discovery; Cancer; Circulating tumor cell; Precision medicine; TMPRSS2; Cancer biomarkers; Molecular biomarkers; Prostate; Targeted therapy; Diagnostic biomarker; Bioinformatics; Computational biology; Oncology; Internal medicine; Metastasis; Pathology; Biology; Proteomics; Disease; Gene; Coronavirus disease 2019 (COVID-19)","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":[0.001225487,0.001042946,0.001225346,0.002998761,0.0003745024,0.001340136,0.0008278898,0.00159581,0.004529943],"category_scores_gemma":[0.001395467,0.0004441047,0.0008461955,0.002329082,0.0006325591,0.001647304,0.0008704885,0.002308544,0.002695845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009347408,"about_ca_system_score_gemma":0.001551556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541012,"about_ca_topic_score_gemma":0.001710039,"domain_scores_codex":[0.999388,0.0001242051,0.00005512957,0.0001078638,0.0002667953,0.00005799445],"domain_scores_gemma":[0.9993804,0.0003169361,0.00006077285,0.00002495695,0.0001845763,0.00003239188],"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":[0.0000712143,0.00009209946,0.0003819649,0.02333634,0.0001171454,0.0003388391,0.0001178195,0.0007928926,0.008701046,0.01781617,0.03217138,0.9160631],"study_design_scores_gemma":[0.000006795945,0.00007288875,0.0003657937,0.001164379,0.0000679508,0.000763019,0.00003893247,0.000161888,0.002739364,0.002412486,0.9921847,0.00002189561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002206515,0.9954579,0.0008766308,0.000506379,0.0004126935,0.000009635593,0.00004347257,0.00002323819,0.002449511],"genre_scores_gemma":[0.002613264,0.9936913,0.001088976,0.0005591408,0.0003525438,0.00002035299,0.00009778973,0.000005801493,0.001570837],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004529943,"threshold_uncertainty_score":0.01515418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04606720693423651,"score_gpt":0.4071215601277716,"score_spread":0.3610543531935351,"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."}}