{"id":"W3034149250","doi":"10.1016/j.xpro.2020.100024","title":"Establishment and Use of Patient-Derived Xenograft Models for Drug Testing in Head and Neck Squamous Cell Carcinoma","year":2020,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"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":"Head and neck squamous-cell carcinoma; Head and neck; Basal cell; Medicine; Drug; Protocol (science); Cancer research; Head and neck cancer; Oncology; Pathology; Internal medicine; Cancer; Surgery; Pharmacology","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":[0.00004864619,0.000110935,0.0001463022,0.00002008289,0.00003015261,0.00003541672,0.00005386334,0.00004960387,8.23359e-7],"category_scores_gemma":[0.0001320175,0.0001142309,0.00002427227,0.00005119296,0.00003800948,0.000007689413,0.0001268461,0.00004148786,6.828388e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008938183,"about_ca_system_score_gemma":0.00007236842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001910822,"about_ca_topic_score_gemma":0.00008858748,"domain_scores_codex":[0.9992871,0.00001789614,0.0002094581,0.0002660681,0.00005459819,0.0001648216],"domain_scores_gemma":[0.9995765,0.00005203139,0.00008510279,0.0001267346,0.00006941105,0.00009020472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001287746,0.0002780716,0.08322889,0.001125901,0.00001353482,0.000008264726,0.002309706,0.003388697,0.8994547,0.00008479787,0.001335984,0.007483736],"study_design_scores_gemma":[0.008133446,0.005410594,0.007187094,0.0001070615,0.00002614206,0.000003410476,0.0004596572,0.01711924,0.9405652,0.0006381557,0.01977446,0.0005755135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760734,0.0001629026,0.0002849739,0.00008079913,0.000007725341,0.02321345,0.0001396879,0.000003668863,0.00003340588],"genre_scores_gemma":[0.9789553,0.000007822973,0.009150923,0.0002291647,0.00003259904,0.01157463,0.00002760736,0.00001760972,0.000004333473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0760418,"threshold_uncertainty_score":0.4658203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559942058949022,"score_gpt":0.2656278859135911,"score_spread":0.2300284653241009,"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."}}