{"id":"W3181233633","doi":"10.3390/bioengineering8070099","title":"Genitourinary Tissue Engineering: Reconstruction and Research Models","year":2021,"lang":"en","type":"review","venue":"Bioengineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Canadian Urological Association Scholarship Fund","keywords":"Tissue engineering; Urethra; Extracellular matrix; Vagina; Genitourinary system; Medicine; Biomedical engineering; Computer science; Pathology; Biology; Anatomy; Cell biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004496803,0.0005377039,0.001810397,0.0009176449,0.00008518661,0.00004814281,0.000110271,0.0004803525,0.00003986836],"category_scores_gemma":[0.0001784976,0.0004565233,0.0001979816,0.0008089409,0.00008269136,0.00008490805,0.0001365431,0.001314481,0.00001876603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277312,"about_ca_system_score_gemma":0.0002022291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008143599,"about_ca_topic_score_gemma":1.934003e-7,"domain_scores_codex":[0.9978063,0.00006463247,0.0005276339,0.000630226,0.0004115667,0.0005596989],"domain_scores_gemma":[0.9987423,0.0001629725,0.00005825085,0.0004993111,0.000161858,0.0003752397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002049316,0.00003050092,4.281922e-7,0.02435948,0.0003127775,0.000570443,0.00007624674,0.0006465516,0.0002679612,0.0009662464,0.0006064381,0.9721609],"study_design_scores_gemma":[0.0002268203,0.0001628373,0.00000151734,0.02837526,0.0004156778,0.006417256,0.00002567711,0.004212231,0.00009681842,0.0000024244,0.9596715,0.0003919689],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004520247,0.9927812,0.004980043,0.00006585476,0.001060491,0.0006444973,0.00001218875,0.0002673417,0.0001431776],"genre_scores_gemma":[0.00006761792,0.9863046,0.007739381,0.000001563124,0.001857231,0.0001284667,0.00009676054,0.000175245,0.003629178],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9717689,"threshold_uncertainty_score":0.9997886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624373936899655,"score_gpt":0.4009282522733588,"score_spread":0.2384908585833933,"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."}}