{"id":"W4403264745","doi":"10.1038/s41598-024-74543-w","title":"Evaluating different methods for kidney recellularization","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computational biology; Bioinformatics; Data science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002039254,0.0005112526,0.0004449475,0.001225236,0.0003789156,0.001011958,0.0004812686,0.0006501473,0.003196707],"category_scores_gemma":[0.003252881,0.0003051228,0.0006970971,0.0005589126,0.0005417335,0.001492363,0.0006298826,0.0008887249,0.0007541843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289783,"about_ca_system_score_gemma":0.0004946539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004661123,"about_ca_topic_score_gemma":0.0008269756,"domain_scores_codex":[0.9989098,0.0001623233,0.0001192446,0.0002677068,0.0004245356,0.0001164349],"domain_scores_gemma":[0.9982308,0.0008334609,0.0003111278,0.000203244,0.0003129762,0.0001084564],"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":[0.001643082,0.0006832466,0.00228117,0.002925709,0.0001919089,0.0001960482,0.0003883396,0.003400192,0.8403814,0.001531221,0.000966467,0.1454111],"study_design_scores_gemma":[0.0001437718,0.007249323,0.008778137,0.000253213,0.0006732296,0.001016519,0.0003880103,0.008252536,0.9391375,0.0007169704,0.03323464,0.0001563055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705021,0.06983962,0.1452413,0.0005434946,0.001323264,0.001162043,0.0006708808,0.0008873927,0.009829866],"genre_scores_gemma":[0.8409975,0.02827029,0.1225008,0.0004454008,0.0002127615,0.0007497093,0.0008563162,0.0004856148,0.005481618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003196707,"threshold_uncertainty_score":0.01078475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07482755623637696,"score_gpt":0.4410964115298142,"score_spread":0.3662688552934372,"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."}}