{"id":"W2564066883","doi":"10.1007/s10555-016-9653-x","title":"Patient-derived xenograft (PDX) models in basic and translational breast cancer research","year":2016,"lang":"en","type":"review","venue":"Cancer and Metastasis Reviews","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":273,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Cancer Institute","keywords":"Translational research; Breast cancer; Medicine; Cancer; Translational science; Clinical trial; Computational biology; Clinical research; Cancer research; Bioinformatics; Oncology; Biology; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001537954,0.0007758131,0.004223259,0.0007449225,0.0001543906,0.00006734575,0.0001684317,0.000294568,0.001112958],"category_scores_gemma":[0.0000436584,0.0004866679,0.0006811697,0.0009990791,0.0003514595,0.0002442979,0.0001291836,0.0008279141,0.00002462507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894717,"about_ca_system_score_gemma":0.001122578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005567803,"about_ca_topic_score_gemma":0.0004521006,"domain_scores_codex":[0.9951361,0.0007028416,0.001492915,0.001210195,0.0006297703,0.0008281086],"domain_scores_gemma":[0.9979675,0.0002278751,0.0004105811,0.0006052595,0.0002397945,0.0005489508],"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":[0.00007118632,0.00007023647,0.00002655402,0.02556009,0.0002936945,0.00001788633,0.0001987348,3.288172e-7,0.00002267271,0.00007854209,0.002318884,0.9713412],"study_design_scores_gemma":[0.00111038,0.00006510587,0.00004251932,0.04832064,0.001761486,0.0001265434,0.00002534044,0.000002678514,0.00001066976,0.00009314228,0.9479746,0.0004668957],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001214988,0.992359,0.00004282511,0.0006765038,0.0002820212,0.003688686,0.002259581,0.00002124225,0.0005486726],"genre_scores_gemma":[0.00005743229,0.995268,0.0003785498,0.0002424428,0.0004276187,0.003036192,0.00009815552,0.000115213,0.0003763212],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9708743,"threshold_uncertainty_score":0.9998001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1949715382466292,"score_gpt":0.4394097943420224,"score_spread":0.2444382560953933,"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."}}