{"id":"W3038535715","doi":"10.1016/j.urology.2020.06.025","title":"Predictors of Prostate-specific Membrane Antigen (PSMA/FOLH1) Expression in a Genomic Database","year":2020,"lang":"en","type":"article","venue":"Urology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Decipher Biosciences (Canada)","funders":"","keywords":"Medicine; DECIPHER; Androgen receptor; Prostatectomy; Prostate cancer; Basal (medicine); Androgen; Prostate; Internal medicine; Prostate-specific antigen; Biomarker; Glutamate carboxypeptidase II; Oncology; Cancer; Bioinformatics; Biology; Hormone; Genetics","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":[0.000670393,0.0002003404,0.0005325467,0.002658877,0.0002606888,0.0009237996,0.0004828048,0.0004123802,0.002505026],"category_scores_gemma":[0.003551385,0.0001085637,0.0004615051,0.003850168,0.000139344,0.0005266831,0.0005276144,0.0003818901,0.0006037396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757534,"about_ca_system_score_gemma":0.0007371159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263375,"about_ca_topic_score_gemma":0.008681844,"domain_scores_codex":[0.9992711,0.00009620402,0.0001132821,0.0003230642,0.0001052417,0.00009120844],"domain_scores_gemma":[0.9978784,0.0008856796,0.0005616798,0.0002516919,0.0002081205,0.0002142972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00057218,0.00006591938,0.954548,0.0003885594,0.0005787696,0.0003819027,0.00007193804,0.0009446672,0.003293014,0.0003243777,0.008468132,0.03036252],"study_design_scores_gemma":[0.00004053203,0.0001203333,0.9779205,0.0001258079,0.0006035417,0.001744587,0.0001954518,0.002713372,0.002037343,0.000532534,0.01394664,0.00001940894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8461651,0.005395034,0.001744436,0.0006986742,0.00004301376,0.00005053645,0.1432952,0.0001519291,0.002456136],"genre_scores_gemma":[0.8742111,0.001465654,0.002257347,0.000310103,0.0000406187,0.00004708042,0.1211584,0.00002523299,0.0004844665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006263375,"threshold_uncertainty_score":0.01245385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584541259872662,"score_gpt":0.2887312414117191,"score_spread":0.2528858288129925,"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."}}