{"id":"W4389883177","doi":"10.1186/s42825-023-00142-6","title":"Collagen-based biomaterials in organoid technology for reproductive medicine: composition, characteristics, and applications","year":2023,"lang":"en","type":"article","venue":"Collagen and Leather","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Sichuan Province Science and Technology Support Program; Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Decellularization; Organoid; Context (archaeology); Biomedicine; Matrigel; Regenerative medicine; Biological materials; Biofabrication; Engineering ethics; Nanotechnology; Tissue engineering; Biomedical engineering; Computer science; Medicine; Biotechnology; Engineering; Biology; Stem cell; Bioinformatics; Cell biology; In vivo; Materials science","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":[0.0007746451,0.0003335213,0.0001450416,0.0007839829,0.000267987,0.0005332568,0.0001624152,0.0004445229,0.0007594574],"category_scores_gemma":[0.0005524781,0.0001746767,0.0002028353,0.0005435306,0.0002778375,0.0004809629,0.0001612565,0.0003629992,0.0002511758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039362,"about_ca_system_score_gemma":0.0003067214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007027786,"about_ca_topic_score_gemma":0.001321391,"domain_scores_codex":[0.999793,0.0000622151,0.00001594884,0.00002846973,0.00007635777,0.0000239483],"domain_scores_gemma":[0.999587,0.0001512162,0.0000716161,0.00002169606,0.00009118648,0.00007729057],"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":[0.00009102696,0.00003456806,0.001116523,0.0001446506,0.000006600539,0.0001248431,0.00006382511,0.0001896823,0.9892256,0.0002924528,0.00005626034,0.008654028],"study_design_scores_gemma":[0.0000100317,0.0003708707,0.01102383,0.00006167147,0.00004022637,0.001043945,0.0001455887,0.001539953,0.9765679,0.0001734571,0.009000726,0.00002176064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9334193,0.04160009,0.01818254,0.000381189,0.0001119309,0.00009756751,0.0003605776,0.00004887948,0.005797976],"genre_scores_gemma":[0.9672,0.01628804,0.01262943,0.0001118897,0.00005262628,0.00003659562,0.0002429718,0.00002687316,0.003411653],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0007839829,"threshold_uncertainty_score":0.004096806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612232427673524,"score_gpt":0.2887516227122613,"score_spread":0.2726292984355261,"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."}}