{"id":"W2622530399","doi":"10.1038/s41598-017-03365-w","title":"Conductive Cellulose Composites with Low Percolation Threshold for 3D Printed Electronics","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Percolation threshold; Composite material; Electrical conductor; Cellulose; Percolation (cognitive psychology); Materials science; 3d printed; Electronics; Printed electronics; Electrically conductive; Inkwell; Electrical resistivity and conductivity; Biomedical engineering; Electrical engineering; Medicine; Chemical engineering; Engineering; 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":[0.0001100822,0.0002623721,0.0001705793,0.0002593016,0.0001512978,0.0004014328,0.0002164179,0.0003861205,0.001117301],"category_scores_gemma":[0.0002843021,0.0001757695,0.0002333518,0.0001657578,0.0001436696,0.0003097364,0.0001733316,0.000311239,0.0005364026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279047,"about_ca_system_score_gemma":0.000144138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000233348,"about_ca_topic_score_gemma":0.000708913,"domain_scores_codex":[0.9998951,0.000008631161,0.000006582404,0.00002023748,0.00005386025,0.00001563984],"domain_scores_gemma":[0.9998178,0.00005768543,0.00004625021,0.00002454321,0.00002915821,0.00002452061],"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":[0.00001105488,0.000009719291,0.00007046523,0.00003495051,0.000002347493,0.0001152286,0.00001129721,0.000408399,0.9968135,0.0001660734,0.00005818975,0.002298705],"study_design_scores_gemma":[0.000003505292,0.00003361262,0.0004436041,0.000003239359,0.000003625575,0.0001251999,0.000005690324,0.002246428,0.9958305,0.00007436272,0.001224378,0.000005667847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930405,0.002141058,0.0548885,0.0002411952,0.0001792869,0.00004611024,0.0004425686,0.001196796,0.01045958],"genre_scores_gemma":[0.9580499,0.0005915094,0.03805391,0.00006715665,0.00001242026,0.0000349674,0.0001679282,0.0001139954,0.002908198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001117301,"threshold_uncertainty_score":0.003737688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430645888161345,"score_gpt":0.2325502348008071,"score_spread":0.2182437759191936,"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."}}