{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009007467,0.0003938012,0.001661876,0.0008953515,0.0002172623,0.0001814587,0.0003603006,0.00036851,0.002349307],"category_scores_gemma":[0.0008712803,0.0002952467,0.0001836956,0.001191852,0.000481775,0.00007191563,0.0001306847,0.0002753186,0.00003162744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346739,"about_ca_system_score_gemma":0.0006886329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000041078,"about_ca_topic_score_gemma":0.000005276882,"domain_scores_codex":[0.9940856,0.0005531615,0.002069255,0.0005365454,0.001682669,0.001072832],"domain_scores_gemma":[0.9972464,0.0004556791,0.0004154497,0.0005149738,0.0005779617,0.0007895436],"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":[0.002812517,0.001204622,0.00006616912,0.0006604229,0.0001735686,0.001298048,0.0001069981,0.00001007583,0.9869974,0.00260883,0.003787747,0.000273631],"study_design_scores_gemma":[0.009907293,0.001759482,0.0004973049,0.0009915923,0.00008973875,0.0002057216,0.0001555971,0.00001534655,0.9344311,0.0005278387,0.05114348,0.0002754973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878493,0.00144526,0.003211656,0.003555798,0.002486784,0.001158525,0.0001788331,0.00005734166,0.00005649438],"genre_scores_gemma":[0.9863483,0.0000537904,0.007548181,0.00003828724,0.00427865,0.0001663916,0.000174003,0.00009874441,0.001293695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05256626,"threshold_uncertainty_score":0.99995,"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."}}