{"id":"W3022713500","doi":"10.1007/s10815-020-01784-9","title":"Whole-ovary decellularization generates an effective 3D bioscaffold for ovarian bioengineering","year":2020,"lang":"en","type":"article","venue":"Journal of Assisted Reproduction and Genetics","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Carraresi Foundation","keywords":"Decellularization; Ex vivo; Ovary; Biology; Tissue engineering; Cell biology; Elastin; Staining; Extracellular matrix; Glycosaminoglycan; In vivo; Biomedical engineering; In vitro; Anatomy; Biochemistry; Medicine; Endocrinology","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":[0.0001742962,0.0001897722,0.0001208147,0.000215175,0.0001396319,0.0003028538,0.0001446129,0.0003493264,0.0006498759],"category_scores_gemma":[0.0001374656,0.0001442593,0.0001885731,0.0001160342,0.0001936272,0.0001915447,0.0002569912,0.0002896274,0.0002926608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001878,"about_ca_system_score_gemma":0.0002324028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003097142,"about_ca_topic_score_gemma":0.0008550753,"domain_scores_codex":[0.9999368,0.000004236698,0.000004086117,0.00001281661,0.00002790677,0.00001420712],"domain_scores_gemma":[0.9999346,0.000015693,0.00001830699,0.000009458411,0.00001109604,0.00001078828],"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":[0.00001022498,0.000004033656,0.00007726765,0.0000105602,0.000001347258,0.00004002386,0.00001250811,0.0001162044,0.9980431,0.0001549464,0.00002926994,0.001500548],"study_design_scores_gemma":[0.000007994814,0.00003910777,0.001796263,0.000006439323,0.000007963781,0.0002066498,0.00001969101,0.001602702,0.9914175,0.0001236239,0.004764784,0.000007288322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504628,0.001874165,0.0429168,0.0001512589,0.0001025872,0.00006040829,0.0002566445,0.0002474319,0.003927912],"genre_scores_gemma":[0.9675903,0.0009013226,0.02726689,0.0001230932,0.000015831,0.00004623672,0.0003192498,0.0001232373,0.003613865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006498759,"threshold_uncertainty_score":0.00217402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598033856413541,"score_gpt":0.271007561946324,"score_spread":0.2450272233821886,"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."}}