{"id":"W2097121410","doi":"10.1158/0008-5472.can-13-2921-t","title":"High Fidelity Patient-Derived Xenografts for Accelerating Prostate Cancer Discovery and Drug Development","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":365,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Prostate cancer; Medicine; Cancer; Prostate; Prostatectomy; Transdifferentiation; Adenocarcinoma; Oncology; Androgen receptor; Cancer research; PTEN; Internal medicine; Bioinformatics; Biology; PI3K/AKT/mTOR pathway; Stem cell","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":[],"consensus_categories":[],"category_scores_codex":[0.0005431595,0.0002243689,0.0003516991,0.0002098508,0.0005957037,0.0002953388,0.0001397884,0.00007796694,0.0003813311],"category_scores_gemma":[0.0001148369,0.000162664,0.00005845966,0.0003670018,0.0002969727,0.0004663217,0.0002456053,0.0004385082,0.00002215218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000739373,"about_ca_system_score_gemma":0.001386164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005036749,"about_ca_topic_score_gemma":0.0004420724,"domain_scores_codex":[0.9971277,0.0001091274,0.0003638089,0.0006081993,0.0007698764,0.001021347],"domain_scores_gemma":[0.9980678,0.000211928,0.0000663059,0.0002865826,0.0009886964,0.0003787194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002271048,0.0003866723,0.06179185,0.001936737,0.000567461,0.00003823512,0.009871605,0.00002491734,0.3898544,0.0001093034,0.04713046,0.4860173],"study_design_scores_gemma":[0.009029214,0.0008206474,0.102031,0.001312351,0.00006257326,0.000007066142,0.003311133,0.0002010412,0.845935,0.0006930648,0.03594682,0.0006501579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983216,0.006230925,0.00001813429,0.00598229,0.0002044166,0.00408571,0.0000918604,0.00004686696,0.0001237761],"genre_scores_gemma":[0.9788104,0.002995844,0.001323347,0.0002307678,0.0003130371,0.0101916,0.000100374,0.00005462822,0.005979956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4853671,"threshold_uncertainty_score":0.7614092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08682408592693788,"score_gpt":0.3958406394443298,"score_spread":0.3090165535173919,"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."}}