{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003236495,0.0001383638,0.0001411874,0.00008561938,0.0005721997,0.0004224307,0.0001992465,0.00006919079,0.00001499339],"category_scores_gemma":[0.0001072453,0.0001150636,0.00004342847,0.00005129103,0.0002838729,0.0002224789,0.0000675089,0.0001501715,0.00000593625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007281797,"about_ca_system_score_gemma":0.0000316558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004227727,"about_ca_topic_score_gemma":0.00001909615,"domain_scores_codex":[0.9989994,0.00000289634,0.0001770643,0.0003860377,0.0001576056,0.0002770259],"domain_scores_gemma":[0.9987968,0.0000256463,0.0001526327,0.0008634722,0.0001273665,0.00003413192],"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":[0.0001519715,0.0003331565,0.03575583,0.0009348177,0.0007212411,0.0005468953,0.002224099,0.0398994,0.8131475,0.007339569,0.03586364,0.06308181],"study_design_scores_gemma":[0.0001442152,0.00004818846,0.003379315,0.00006913568,0.00002133471,0.00004684411,0.00005054054,0.02371777,0.9525474,0.006648056,0.01308698,0.0002402653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806993,0.0000632523,0.0146192,0.00004675803,0.001324313,0.0003955024,0.000003397614,0.000623255,0.002225006],"genre_scores_gemma":[0.9871132,0.000002457369,0.01176967,0.000001860636,0.00002716411,0.0000473441,0.00003622803,0.00002311511,0.0009789844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1393998,"threshold_uncertainty_score":0.4692158,"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."}}