{"id":"W2036231703","doi":"10.1038/labinvest.3700288","title":"Molecular characterization of salivary gland malignancy using the Smgb-Tag transgenic mouse model","year":2005,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Salivary Gland Tumors Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"Suomalainen Lääkäriseura Duodecim; Finska Läkaresällskapet","keywords":"Salivary gland; Adenocarcinoma; Biology; Mucoepidermoid carcinoma; Pathology; Adenoid cystic carcinoma; Acinic cell carcinoma; Submandibular gland; Dysplasia; Genetically modified mouse; Myoepithelial cell; Carcinogenesis; Immunohistochemistry; Carcinoma; Transgene; Cancer research; Cancer; Gene; Endocrinology; Medicine; Immunology; Genetics","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":[0.0004348905,0.0004426419,0.0002383351,0.001391235,0.0003276471,0.0005274442,0.0003035311,0.0005157269,0.002553478],"category_scores_gemma":[0.0002818451,0.0002586207,0.0003918533,0.0003436667,0.0004483047,0.0004304131,0.000276537,0.001160863,0.0006675883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702353,"about_ca_system_score_gemma":0.000226893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007262445,"about_ca_topic_score_gemma":0.0009186128,"domain_scores_codex":[0.9997919,0.00003862794,0.00002116641,0.00004151575,0.0000569982,0.0000498036],"domain_scores_gemma":[0.9997405,0.00004824949,0.00007099294,0.0000480514,0.00002785424,0.00006428184],"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":[0.0001333621,0.00006864428,0.0007236958,0.00001920411,0.000007266426,0.000124836,0.0000255377,0.00004917416,0.997026,0.0005515031,0.000101292,0.001169529],"study_design_scores_gemma":[0.00005201248,0.0003703719,0.007554958,0.00001085012,0.00004459916,0.001435308,0.00007453471,0.002161769,0.9840086,0.0002929079,0.003985126,0.000009066844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796665,0.001176909,0.01370371,0.0004854256,0.00006801169,0.0001102688,0.0007594147,0.0002985972,0.003731149],"genre_scores_gemma":[0.9862287,0.0007104049,0.006945929,0.00008279705,0.00001890659,0.00009906211,0.000891969,0.00005697552,0.004965218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002553478,"threshold_uncertainty_score":0.008542299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434534814221832,"score_gpt":0.2580446157004955,"score_spread":0.2336992675582772,"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."}}