{"id":"W4388760883","doi":"10.3390/su152216053","title":"Novel Applications of Silk Proteins Based on Their Interactions with Metal Ions","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Sericin; SILK; Fibroin; Metal ions in aqueous solution; Materials science; Bombyx mori; Nanotechnology; Metal; Nanocomposite; Biocompatibility; Chemistry; Composite material; Metallurgy","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":[0.0001646899,0.0006178831,0.0003107823,0.0004522805,0.0001875524,0.0004307041,0.000246433,0.0006050178,0.0005229688],"category_scores_gemma":[0.00009826934,0.0002044603,0.0004979481,0.0003232617,0.0002154184,0.0004573253,0.0003807302,0.0003114182,0.0003045796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065428,"about_ca_system_score_gemma":0.00009641615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002337223,"about_ca_topic_score_gemma":0.0004784772,"domain_scores_codex":[0.999876,0.00002488199,0.0000110949,0.00002620629,0.0000381706,0.00002366155],"domain_scores_gemma":[0.9999714,0.000006720096,0.00000835247,0.000002080479,0.000006276004,0.000005156409],"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":[0.00004338023,0.00002093722,0.0002100418,0.0008926331,0.00002635607,0.0003195943,0.0000516361,0.0001202258,0.9787903,0.001030835,0.0002960715,0.01819799],"study_design_scores_gemma":[0.00001157015,0.0002744503,0.002035104,0.00006829627,0.00009816073,0.001255948,0.00005689467,0.001065427,0.9403188,0.0004186384,0.0543786,0.00001806353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4992285,0.421609,0.04151592,0.001308655,0.0006331811,0.0001507279,0.0002070724,0.0004420502,0.03490491],"genre_scores_gemma":[0.7888491,0.1804078,0.01945841,0.0004574955,0.0002371665,0.00007645815,0.0001653272,0.00003897585,0.0103093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006178831,"threshold_uncertainty_score":0.001749516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486329911625444,"score_gpt":0.2812426315772857,"score_spread":0.2663793324610313,"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."}}