{"id":"W2899066274","doi":"10.1016/j.celrep.2018.10.004","title":"Patient-Derived Xenografts for Prognostication and Personalized Treatment for Head and Neck Squamous Cell Carcinoma","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation","keywords":"Head and neck; Head and neck squamous-cell carcinoma; Basal cell; Medicine; Oncology; Cancer research; Head and neck cancer; Internal medicine; Pathology; Surgery; Radiation therapy","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":[0.001447006,0.0001828379,0.0002907305,0.0002975794,0.0001957366,0.0006106924,0.0002556693,0.0002561453,0.001963456],"category_scores_gemma":[0.0006413058,0.0001319091,0.0001863505,0.0002708322,0.0002046015,0.0004212543,0.0002907127,0.0007406697,0.0004422648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145765,"about_ca_system_score_gemma":0.0004243916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005166979,"about_ca_topic_score_gemma":0.0009781539,"domain_scores_codex":[0.9997748,0.0001089274,0.00001567421,0.00001483058,0.00006286759,0.0000229969],"domain_scores_gemma":[0.9997488,0.00007448669,0.0000283321,0.00006593469,0.0000414592,0.0000410231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004341685,0.002086608,0.03910465,0.0004269652,0.0001744818,0.000561589,0.0002670911,0.002669213,0.8478833,0.003662974,0.006999037,0.0918225],"study_design_scores_gemma":[0.000710478,0.01113524,0.09567934,0.0001690441,0.0004055754,0.005071066,0.0004754215,0.01259871,0.8074304,0.001449519,0.06482658,0.00004869778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972969,0.011424,0.006713142,0.001069064,0.0002225398,0.000443774,0.002436875,0.0001606512,0.004560954],"genre_scores_gemma":[0.9861746,0.004518835,0.005488652,0.0001338971,0.00003714491,0.0001268641,0.002192373,0.00001872411,0.001308933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001963456,"threshold_uncertainty_score":0.007652581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024823671493169,"score_gpt":0.2919251608620854,"score_spread":0.2616769241471537,"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."}}