{"id":"W2072426570","doi":"10.1007/s10854-014-2440-y","title":"Highly electrically conductive adhesives using silver nanoparticle (Ag NP)-decorated graphene: the effect of NPs sintering on the electrical conductivity improvement","year":2014,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Graphene; Composite material; Curing (chemistry); Electrical resistivity and conductivity; Percolation threshold; Epoxy; Adhesive; Electrical conductor; Sintering; Nanoparticle; Nanotechnology; Layer (electronics)","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":[0.00009632986,0.0004280509,0.0001867352,0.0002969661,0.0001692974,0.0002999539,0.0002385069,0.0004156762,0.001003369],"category_scores_gemma":[0.0002159317,0.0002559771,0.0001720032,0.0002168494,0.000157807,0.0002876653,0.0002252726,0.0004740278,0.0003350967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001034519,"about_ca_system_score_gemma":0.0001183477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001851929,"about_ca_topic_score_gemma":0.0008687055,"domain_scores_codex":[0.9998977,0.000009324536,0.000007932983,0.0000252941,0.00003344478,0.00002617449],"domain_scores_gemma":[0.9998871,0.0000268681,0.00003194697,0.00001148691,0.00002332414,0.00001921177],"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":[0.00001733129,0.00001121874,0.00003213477,0.00003717304,0.000002981776,0.00005539142,0.00001876635,0.00003387198,0.9980818,0.00004973781,0.00005154556,0.001608045],"study_design_scores_gemma":[0.000002234814,0.00004065848,0.0002437556,0.000002083481,0.000007182112,0.00003665356,0.00001124308,0.0003619026,0.9987533,0.000009489243,0.0005293339,0.000002112093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912782,0.001492446,0.004914837,0.00009756566,0.0001027843,0.00002549357,0.00007260912,0.0001644115,0.001851541],"genre_scores_gemma":[0.9906125,0.0008537975,0.005541942,0.00006982882,0.00001911586,0.00001867894,0.00005108347,0.00003069769,0.002802396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003369,"threshold_uncertainty_score":0.003356576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156640876533339,"score_gpt":0.2422580558332222,"score_spread":0.2306916470678888,"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."}}