{"id":"W438242855","doi":"10.1007/s00345-015-1596-2","title":"Organ-specific matrix self-assembled by mesenchymal cells improves the normal urothelial differentiation in vitro","year":2015,"lang":"en","type":"article","venue":"World Journal of Urology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Urological Association","keywords":"Urothelium; Matrix (chemical analysis); Cell biology; Immunolabeling; Mesenchymal stem cell; Podocalyxin; Urothelial Cell; Pathology; Extracellular matrix; Biology; Anatomy; Chemistry; Immunohistochemistry; Medicine; Kidney; Urinary system; Podocyte; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223126,0.0001425629,0.0003818753,0.0002758452,0.00003279273,0.00001096289,0.0001277167,0.00007118282,0.0000426685],"category_scores_gemma":[0.00004634514,0.0000828671,0.00006973866,0.0002592222,0.00003473555,0.00005396576,0.00002245379,0.0005581899,0.00001395464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007991885,"about_ca_system_score_gemma":0.00009981629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000624607,"about_ca_topic_score_gemma":0.000007032622,"domain_scores_codex":[0.9987845,0.0001402715,0.0004438359,0.0001137264,0.0002753214,0.0002423048],"domain_scores_gemma":[0.9992674,0.00009781541,0.0001997045,0.0001363752,0.0001373307,0.0001613552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007023531,0.0001596894,0.0008012246,0.00001065421,0.00007167826,0.0001108438,0.0006530717,0.0002150001,0.9866156,0.0001543875,0.009152216,0.001353306],"study_design_scores_gemma":[0.0168521,0.003185653,0.01398121,0.00005214053,0.0003575285,0.00181001,0.0003719941,0.003216249,0.4241991,0.0001165567,0.5355096,0.0003478313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632121,0.01893934,0.00502135,0.009983843,0.002377167,0.0002209654,0.000002168118,0.00002823647,0.0002148183],"genre_scores_gemma":[0.9961928,0.0002426146,0.0006016462,0.0001192842,0.001234522,0.00000270624,0.000003334319,0.00002040612,0.001582686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5624165,"threshold_uncertainty_score":0.3379222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009079879269428196,"score_gpt":0.2426590131715079,"score_spread":0.2335791339020797,"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."}}