{"id":"W2032276333","doi":"10.1016/j.biomaterials.2014.01.029","title":"A tunable silk–alginate hydrogel scaffold for stem cell culture and transplantation","year":2014,"lang":"en","type":"article","venue":"Biomaterials","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute; Howard Hughes Medical Institute","keywords":"Scaffold; Materials science; SILK; Transplantation; Tissue engineering; Biomedical engineering; Stem cell; Self-healing hydrogels; Cell culture; Composite material; Polymer chemistry; Cell biology; Medicine; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005172597,0.0002263424,0.0003120752,0.00003910545,0.0002528365,0.0002460102,0.0002000185,0.0001218937,0.0001138018],"category_scores_gemma":[0.000007265197,0.0001825304,0.00004322102,0.00007817132,0.00006767756,0.0001510289,0.00003063473,0.000004961764,0.00006378558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000305019,"about_ca_system_score_gemma":0.0000530539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104986,"about_ca_topic_score_gemma":0.0002897322,"domain_scores_codex":[0.99858,0.00007124837,0.0003898159,0.0004404939,0.0001601206,0.000358358],"domain_scores_gemma":[0.9992933,0.00007096979,0.0001925745,0.0002597704,0.00006822892,0.0001151733],"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":[0.00007992514,0.00003568717,0.00001877444,0.0003287377,0.000003720745,9.139931e-7,0.00009421324,0.000003440754,0.9965243,0.001478898,0.001072149,0.0003592382],"study_design_scores_gemma":[0.0008119033,0.00008391537,0.0002808432,0.00003616891,0.00004543195,0.0000123935,0.00004508781,0.00008775842,0.982119,0.0005868209,0.01563384,0.000256838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949464,0.000100161,0.002181431,0.0001673091,0.0005688259,0.0008745063,0.0007748433,0.0001569712,0.0002295641],"genre_scores_gemma":[0.9965746,0.00002408084,0.00204195,0.0001453156,0.0002328968,0.0004528301,0.0001386749,0.00003003789,0.0003596173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456169,"threshold_uncertainty_score":0.7443374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303063570768517,"score_gpt":0.2392812268576324,"score_spread":0.2262505911499472,"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."}}