{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002852815,0.0004663714,0.0001931185,0.0004386482,0.0002147562,0.0003935786,0.0002122402,0.0003988173,0.0004979626],"category_scores_gemma":[0.0001226365,0.0001876422,0.0002471615,0.0002294437,0.0002229927,0.0003888128,0.0002716517,0.0002675132,0.0001881645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100096,"about_ca_system_score_gemma":0.0002775535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003050105,"about_ca_topic_score_gemma":0.001174801,"domain_scores_codex":[0.9998987,0.00001060586,0.00001263642,0.00002400933,0.00003476125,0.00001928966],"domain_scores_gemma":[0.9998626,0.00003026964,0.00004103043,0.00001571482,0.00001615669,0.00003420482],"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":[0.00001326333,0.000005401921,0.00004087362,0.0000210677,0.000001643162,0.0000264339,0.00000659814,0.00005619818,0.9988921,0.00007199265,0.00002082035,0.0008435758],"study_design_scores_gemma":[0.000007184748,0.00004313494,0.0006117491,0.000004503388,0.00001021704,0.0001354365,0.000008752127,0.0008546935,0.9963102,0.00004472748,0.00196237,0.000007037792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501823,0.004907752,0.03977431,0.0002400024,0.0001453326,0.00008733133,0.0004927376,0.0004464276,0.003723931],"genre_scores_gemma":[0.9735848,0.001601261,0.02187855,0.00008004151,0.00003728529,0.00006074864,0.0001881622,0.00006829241,0.002500972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004979626,"threshold_uncertainty_score":0.002249241,"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."}}