{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177312,0.00093386,0.001407033,0.0009257394,0.0001586447,0.0009938575,0.001114798,0.001061483,0.003166563],"category_scores_gemma":[0.000860466,0.0003035111,0.0006335386,0.000788012,0.0004060647,0.0008981811,0.000468943,0.003050876,0.001690442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007150123,"about_ca_system_score_gemma":0.0009070665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078195,"about_ca_topic_score_gemma":0.003101659,"domain_scores_codex":[0.99977,0.00005593069,0.00002616034,0.0000293321,0.00009269226,0.00002598859],"domain_scores_gemma":[0.9996374,0.0001866854,0.0000420996,0.00001232664,0.00008534814,0.00003620677],"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":[0.0002765424,0.0001733662,0.0001950066,0.0204881,0.0001757824,0.0002242144,0.00004759348,0.0005873663,0.005375403,0.006954079,0.1118665,0.853636],"study_design_scores_gemma":[0.0000938649,0.0002143865,0.0004794406,0.003026896,0.0001907924,0.0005515653,0.00002921999,0.00007670153,0.0009494822,0.001229661,0.9931391,0.00001889274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001446101,0.9977605,0.0001443262,0.0004154604,0.000507801,0.00001104211,0.00005342796,0.000008967118,0.0009538827],"genre_scores_gemma":[0.000720697,0.9975243,0.000147472,0.0005004499,0.000142963,0.0000136485,0.0001140632,0.000001868997,0.0008345451],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003166563,"threshold_uncertainty_score":0.01059318,"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."}}