{"id":"W3212220745","doi":"10.1016/j.canlet.2021.11.004","title":"Patient-derived xenograft models of neuroendocrine prostate cancer","year":2021,"lang":"en","type":"review","venue":"Cancer Letters","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Mitacs; Terry Fox Research Institute","keywords":"Prostate cancer; Cancer; Computational biology; Translational research; Neuroendocrine tumors; Biology; Precision medicine; Medicine; Cancer research; Bioinformatics; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004918581,0.000600127,0.002456759,0.0003058873,0.00006907125,0.00003084698,0.0001969419,0.0000956794,0.0003948127],"category_scores_gemma":[0.00001575074,0.0004407775,0.000776768,0.0006867311,0.0002371578,0.0001171445,0.0001693552,0.0006435643,0.00001111982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006185937,"about_ca_system_score_gemma":0.00151492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003179555,"about_ca_topic_score_gemma":0.0000164174,"domain_scores_codex":[0.9970325,0.0001449042,0.0007576615,0.0007575862,0.0005867063,0.0007206996],"domain_scores_gemma":[0.9983551,0.00006519902,0.0004237543,0.000656392,0.0002238304,0.0002757387],"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":[0.0000995587,0.0001091814,0.00005062569,0.02622885,0.001242084,0.0009840805,0.00022288,0.00005123254,0.0006017378,0.000006049648,0.01287173,0.957532],"study_design_scores_gemma":[0.001296303,0.0001557525,0.00000415792,0.02791061,0.001941307,0.00007479407,0.00002490914,0.00002260904,0.0009119853,0.000003533632,0.9672669,0.0003871396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001051057,0.9930102,0.00001162223,0.002281479,0.000643426,0.002152612,0.0006246206,0.00005678775,0.00016816],"genre_scores_gemma":[0.0001000523,0.9949501,0.00008835163,0.001110137,0.0002884106,0.001951666,0.0004750409,0.0001512835,0.0008850111],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9571449,"threshold_uncertainty_score":0.9998044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07247706334073667,"score_gpt":0.3772668888360223,"score_spread":0.3047898254952856,"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."}}