{"id":"W4392239259","doi":"10.3390/bioengineering11030230","title":"Tissue Engineering for Penile Reconstruction","year":2024,"lang":"en","type":"article","venue":"Bioengineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Penis; Medicine; Tissue engineering; Surgery; Computer science; Anatomy; Biomedical engineering","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":[0.0001089408,0.0001700313,0.0002150902,0.0002421557,0.0000291089,0.00003002541,0.0000369628,0.00007921737,0.00005489988],"category_scores_gemma":[0.00007783458,0.0001462743,0.00007898884,0.0002316037,0.00001538077,0.00007004265,0.00000971907,0.0001560262,0.00002995562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008056917,"about_ca_system_score_gemma":0.00003107993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002902904,"about_ca_topic_score_gemma":2.052532e-7,"domain_scores_codex":[0.9992311,0.000002091633,0.0001795343,0.0002356202,0.0001052204,0.0002464495],"domain_scores_gemma":[0.9996377,0.00005241759,0.000008924826,0.000139808,0.00003621475,0.0001249527],"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":[0.0000179072,0.00001750305,0.00005133236,0.002105086,0.0001387716,0.00008830324,0.0002239358,0.01051813,0.8839524,0.006328237,0.00299158,0.09356685],"study_design_scores_gemma":[0.0006199572,0.0003202844,0.0004269483,0.000849635,0.0001334874,0.001127896,0.00003667517,0.3086071,0.1752441,0.00001014314,0.5123148,0.0003090003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07992578,0.03534007,0.8750376,0.001121812,0.005860989,0.0006624724,0.00001953887,0.00178122,0.0002505751],"genre_scores_gemma":[0.9531645,0.00005454927,0.03777149,0.000009085622,0.002119999,0.00009885536,0.00003358191,0.00008488647,0.006663089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8732387,"threshold_uncertainty_score":0.5964891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391974835579262,"score_gpt":0.2676924533687507,"score_spread":0.2537727050129581,"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."}}