{"id":"W3216640203","doi":"10.1002/jbm.b.34974","title":"Ovarian extracellular matrix‐based hydrogel for human ovarian follicle survival in vivo: A pilot work","year":2021,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part B Applied Biomaterials","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Decellularization; Glycosaminoglycan; Follicle; Extracellular matrix; Ovarian follicle; In vivo; Andrology; Self-healing hydrogels; Ovary; Tissue engineering; In vitro; Materials science; Biomedical engineering; Cell biology; Biology; Endocrinology; Anatomy; Biochemistry; Medicine; Polymer chemistry; Biotechnology","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":[0.0002825586,0.0002302243,0.0001484089,0.00009981717,0.00008129707,0.0001371556,0.0001178169,0.0002093553,0.0005691645],"category_scores_gemma":[0.0001387925,0.00005680533,0.0002337214,0.00006593503,0.00008046633,0.0001189125,0.000158166,0.0001280353,0.00008813416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007321147,"about_ca_system_score_gemma":0.0001009597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874657,"about_ca_topic_score_gemma":0.0005135126,"domain_scores_codex":[0.999926,0.00001414673,0.000006888495,0.0000144301,0.00002305589,0.00001552401],"domain_scores_gemma":[0.9999205,0.00002786111,0.00001470436,0.00001042011,0.000009692082,0.0000169089],"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":[0.00006168484,0.00005779528,0.0001621008,0.00005430944,0.000004260969,0.0000484538,0.00002061234,0.00006727145,0.9977716,0.00001052872,0.00001768806,0.001723644],"study_design_scores_gemma":[0.00003197245,0.001648494,0.003830197,0.00001058486,0.00004119632,0.0002792555,0.00002592697,0.0005792244,0.9913409,0.00001279604,0.002193501,0.000005785889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950948,0.001289849,0.002778821,0.0000305124,0.00001897868,0.00008081849,0.0001007849,0.00002312511,0.0005822812],"genre_scores_gemma":[0.9940587,0.0008429086,0.004100838,0.00002701465,0.00001126341,0.00005445028,0.0001467872,0.000009573256,0.0007484616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005691645,"threshold_uncertainty_score":0.00190407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08691755991973808,"score_gpt":0.3819748011995161,"score_spread":0.295057241279778,"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."}}