{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000515015,0.0001641493,0.0002165673,0.0001516965,0.0002862937,0.0000443817,0.0002814431,0.00004900578,0.0002638288],"category_scores_gemma":[0.0001795686,0.0001183386,0.00008547898,0.001055121,0.0003073785,0.0001063944,0.00006489221,0.00007460872,0.00006805844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015328,"about_ca_system_score_gemma":0.0004406899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002935135,"about_ca_topic_score_gemma":0.0000852422,"domain_scores_codex":[0.9986693,0.00007181292,0.0003171309,0.0004240947,0.0002211495,0.0002964744],"domain_scores_gemma":[0.9981098,0.0002508723,0.0001546162,0.0008330678,0.0005643825,0.00008732351],"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":[0.0001107066,0.0008759564,0.000594421,0.0001700341,0.00001024723,8.534945e-7,0.0001594926,0.001836356,0.984706,0.01035752,0.000126122,0.001052296],"study_design_scores_gemma":[0.0006779617,0.000306034,0.02651196,0.0000344709,0.00004487456,0.000003511702,0.001662137,0.002075774,0.9539689,0.006657559,0.007734687,0.0003221174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610692,0.000003226271,0.03243818,0.002999645,0.00006221767,0.002086756,0.0005674029,0.000339528,0.0004338425],"genre_scores_gemma":[0.9951333,3.961785e-7,0.001854267,0.00005615821,0.00005253441,0.00263335,0.0000774377,0.00001873103,0.0001738199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03406411,"threshold_uncertainty_score":0.482571,"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."}}