{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001280681,0.0001451104,0.0001975023,0.00006855356,0.00007079435,0.00001475442,0.00005775125,0.00007436639,0.00002293969],"category_scores_gemma":[0.00001894323,0.0001050495,0.0000578254,0.0002677351,0.00008071279,0.000176481,0.000009163695,0.00008139729,0.000005497409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006217553,"about_ca_system_score_gemma":0.0001827598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001542527,"about_ca_topic_score_gemma":0.000004314036,"domain_scores_codex":[0.9990672,0.00007215927,0.0003034583,0.0001864214,0.0002326987,0.0001380132],"domain_scores_gemma":[0.9993108,0.00001744189,0.0001498886,0.0002788808,0.0001494418,0.00009354679],"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":[0.00003702358,0.0001462605,0.09229431,0.000066914,0.0000721469,0.000004232456,0.0007056871,0.001728152,0.9032143,0.001582088,0.00002109391,0.0001277706],"study_design_scores_gemma":[0.001028451,0.00008154913,0.04182092,0.0001113777,0.0002379143,0.000004652422,0.00002704684,0.02328846,0.933041,0.0001664723,0.0000714714,0.0001206917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970265,0.0001938615,0.001095349,0.001049598,0.00003943191,0.0003945196,0.00009873302,0.00004341648,0.00005856603],"genre_scores_gemma":[0.99659,0.00006886986,0.001628456,0.00130388,0.00009255562,0.00003362529,0.0002223441,0.00002707002,0.00003319901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05047338,"threshold_uncertainty_score":0.4283794,"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."}}