{"id":"W2987982078","doi":"10.1007/s00403-019-02000-0","title":"Molecular profiling of TOX-deficient neoplastic cells in cutaneous T cell lymphoma","year":2019,"lang":"en","type":"article","venue":"Archives of Dermatological Research","topic":"Cutaneous lymphoproliferative disorders research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Young Scientists Fund; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Gene knockdown; Biology; Cutaneous T-cell lymphoma; Cancer research; Mycosis fungoides; Lymphoma; Transcriptome; Downregulation and upregulation; Gene expression profiling; Wnt signaling pathway; Small hairpin RNA; RNA interference; Gene; Gene expression; Immunology; RNA; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004733366,0.0001198257,0.0001367324,0.0002811626,0.0001024287,0.0001768048,0.00005074783,0.0001197865,0.0005983636],"category_scores_gemma":[0.00006554009,0.00005183241,0.00009703246,0.0002488687,0.00007848188,0.00006912394,0.00007797938,0.0001402206,0.0001638472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009803899,"about_ca_system_score_gemma":0.00007336985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002396354,"about_ca_topic_score_gemma":0.0005321291,"domain_scores_codex":[0.9999378,0.000005788494,0.000004201187,0.00001543549,0.00002233709,0.00001451264],"domain_scores_gemma":[0.9999557,0.000006832992,0.00001276347,0.000003591632,0.000009477239,0.00001158794],"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":[0.00004434834,0.000006742393,0.0007577527,0.00001930836,0.000001995969,0.00005627942,0.000009527706,0.00001993798,0.9983587,0.00001051937,0.00001795891,0.0006968888],"study_design_scores_gemma":[0.00002166968,0.0004635157,0.1408252,0.00001366354,0.00005638646,0.001191323,0.0001721453,0.001689235,0.8509695,0.00010543,0.004482707,0.000009098508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994091,0.0010762,0.002301106,0.00003136316,0.00001253971,0.00003297934,0.001448133,0.00006802139,0.0009386799],"genre_scores_gemma":[0.9902506,0.001077698,0.003461293,0.00006999695,0.000006479024,0.00006320316,0.002939967,0.00002166943,0.00210915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005983636,"threshold_uncertainty_score":0.002001762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614915411163452,"score_gpt":0.3286806558234689,"score_spread":0.3025315017118344,"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."}}