{"id":"W2790489520","doi":"10.3390/nano8020123","title":"Printed Graphene Derivative Circuits as Passive Electrical Filters","year":2018,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Materials science; Electronic circuit; Derivative (finance); Electronic engineering; Optoelectronics; Nanotechnology; Electrical engineering; Engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001055816,0.0002674293,0.0003673237,0.0001154737,0.0001110692,0.00009256246,0.000196197,0.000136162,0.0007861357],"category_scores_gemma":[0.0002242758,0.0002516545,0.00005548713,0.0002456433,0.0001096664,0.0001806287,0.00003793751,0.00005112284,0.000448759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006800897,"about_ca_system_score_gemma":0.00002000192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001692321,"about_ca_topic_score_gemma":0.000002537313,"domain_scores_codex":[0.9986194,0.00007360723,0.0003906277,0.0002828115,0.0001535011,0.0004800618],"domain_scores_gemma":[0.999353,0.00007514858,0.00007508559,0.0002680993,0.0001041873,0.0001244598],"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":[0.00002140088,0.00001191363,0.00002708481,0.00001969853,0.00004844274,0.00001684958,0.00017728,0.0001939887,0.9956815,0.001144549,0.0005845677,0.002072711],"study_design_scores_gemma":[0.0003314091,0.0001335548,0.001094866,0.00003600749,0.00001416245,0.0000380351,0.00001343996,0.0001147497,0.9909068,0.00165046,0.005347593,0.0003188863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874326,0.00002789512,0.002271993,0.00001564518,0.001850235,0.0001704066,0.00002579251,0.0008640339,0.00734141],"genre_scores_gemma":[0.997776,0.00003202878,0.001052353,0.0001109089,0.0006621451,0.00004781442,0.00002686374,0.00006981788,0.0002220544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034342,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260807208528278,"score_gpt":0.2363130824615904,"score_spread":0.2237050103763076,"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."}}