{"id":"W2593592874","doi":"10.1158/1557-3265.pdx16-b08","title":"Abstract B08: Patient-derived xenografts of oral squamous cell carcinoma: A model system for the identification of prognostic molecular signatures and for preclinical assessment of targeted therapies","year":2016,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Clinical significance; Oncology; Internal medicine; Lymph node; Basal cell; Cancer; Disease; Biomarker; Histology; Personalized medicine; Pathology; Bioinformatics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009533669,0.0004604209,0.0004682379,0.0003906599,0.0003070017,0.0005422519,0.0003599317,0.0004842948,0.003224191],"category_scores_gemma":[0.0003369249,0.0002263342,0.0004119682,0.0003398078,0.0002472048,0.000341948,0.0003427495,0.001457076,0.0009668257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979131,"about_ca_system_score_gemma":0.0003690666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461658,"about_ca_topic_score_gemma":0.001188303,"domain_scores_codex":[0.9996285,0.00010205,0.00004667414,0.00006247501,0.0000942983,0.00006590828],"domain_scores_gemma":[0.999648,0.00009449315,0.00005885027,0.00008208399,0.00004724502,0.0000693759],"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":[0.001547973,0.001432211,0.0044058,0.0001227803,0.00004330634,0.0002042576,0.0001347061,0.001083968,0.9837938,0.0008133123,0.001165301,0.005252702],"study_design_scores_gemma":[0.0005001144,0.01439394,0.03217523,0.00005930259,0.0001325347,0.00233161,0.0002620791,0.01457984,0.9224204,0.0004373893,0.01266465,0.0000429762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896342,0.0005863166,0.004016359,0.0001396874,0.00005573655,0.0002843303,0.003505712,0.00008401703,0.001693763],"genre_scores_gemma":[0.9832335,0.0006000028,0.007169194,0.0000764455,0.00001766032,0.0004105453,0.00551872,0.00004386292,0.002930085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003224191,"threshold_uncertainty_score":0.010786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069402955615654,"score_gpt":0.4689499787309677,"score_spread":0.3620096831694022,"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."}}