{"id":"W2767101381","doi":"10.1038/s41598-017-15395-5","title":"A Silk Fibroin Bio-Transient Solution Processable Memristor","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Melbourne; RMIT University; Centre of Excellence for Integrative Brain Function, Australian Research Council; Australian Research Council; Ontario Ministry of Natural Resources and Forestry","keywords":"Fibroin; SILK; Materials science; Environmentally friendly; Electrical conductor; Biocompatible material; Nanotechnology; Electrode; Memristor; Resistive touchscreen; Computer science; Composite material; Chemistry; Electronic engineering; Biomedical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004402944,0.0001176365,0.0001245117,0.00006090782,0.0009984738,0.0002997958,0.0001649837,0.00004241778,0.0000264827],"category_scores_gemma":[0.00009664868,0.000112648,0.00005691503,0.00009658024,0.0001321848,0.0004457798,0.00004590962,0.0001076098,0.00002523631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000502768,"about_ca_system_score_gemma":0.00002907212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003923351,"about_ca_topic_score_gemma":0.00001240855,"domain_scores_codex":[0.9988035,0.000006751796,0.0002606958,0.0003933664,0.0002324143,0.0003032528],"domain_scores_gemma":[0.9988976,0.000008613702,0.0001293113,0.0008137734,0.000059675,0.00009102784],"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":[0.000008157169,0.00003682045,0.0006851782,0.0002709337,0.00001624592,0.000533662,0.0005462239,0.03093211,0.9269781,0.00004300246,0.02782947,0.0121201],"study_design_scores_gemma":[0.0001761263,0.00002724673,0.001111674,0.0001650332,0.00001898734,0.0003494842,0.00003820443,0.02288268,0.7985428,0.003952273,0.172283,0.0004524808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691522,0.0003252245,0.008529635,0.00008242072,0.01206726,0.000241295,0.000001304773,0.0004482304,0.009152501],"genre_scores_gemma":[0.9959984,0.000002988391,0.0007543211,0.000004947865,0.000101208,0.000008260261,0.000007571064,0.00001671715,0.003105577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1444536,"threshold_uncertainty_score":0.7679555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196748992199922,"score_gpt":0.247957016852131,"score_spread":0.2282821176321388,"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."}}