{"id":"W2911146996","doi":"10.1080/23723556.2018.1558684","title":"Patient-derived xenografts: a promising resource for preclinical cancer research","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"CDKN2A; Medicine; Cancer research; Head and neck squamous-cell carcinoma; Cancer; Cyclin D1; Kinase; Oncology; Head and neck cancer; Internal medicine; Cell cycle; Biology","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":[0.000767624,0.0002333261,0.0006298574,0.0002000807,0.0001262878,0.00002005268,0.0002006539,0.000339512,0.0003064284],"category_scores_gemma":[0.0002768599,0.0002184696,0.0002337161,0.0003371029,0.000290297,0.0000569422,0.0001610373,0.0006435766,0.00008616115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005843552,"about_ca_system_score_gemma":0.0006549477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004833251,"about_ca_topic_score_gemma":0.00001096029,"domain_scores_codex":[0.9970761,0.0004002567,0.0004782403,0.0007338542,0.0004875258,0.0008240092],"domain_scores_gemma":[0.9981089,0.0003742491,0.0001607565,0.0006861294,0.0004258685,0.0002441364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002671986,0.0003018754,0.0004915801,0.000157934,0.0001845293,0.000152358,0.0008254565,0.00008555706,0.9217798,0.0001493103,0.0003442494,0.07285532],"study_design_scores_gemma":[0.00409924,0.002577056,0.000116833,0.0001473415,0.00007370106,0.00004392784,0.0004432806,0.0001530259,0.4739726,0.0003713355,0.5178205,0.0001811441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804859,0.004654413,0.004970176,0.004126427,0.0004068421,0.003128461,0.00001506994,0.0001000576,0.002112695],"genre_scores_gemma":[0.9800195,0.00003921441,0.01476929,0.00236194,0.000400698,0.0009401952,0.00007668096,0.0001447323,0.001247804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5174762,"threshold_uncertainty_score":0.890893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900352730484567,"score_gpt":0.4241254938912983,"score_spread":0.3651219665864527,"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."}}