{"id":"W2552619944","doi":"10.1109/jetcas.2016.2619979","title":"Printed Organic and Inorganic Electronics: Devices To Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; King Abdullah University of Science and Technology","keywords":"Electronics; Nanotechnology; Materials science; Printed electronics; Molecular electronics; Graphene; Nanowire; Organic electronics; Transistor; Electrical engineering; 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":[0.0004269567,0.0002510951,0.0003811256,0.0002691408,0.0001533643,0.0002276446,0.0001211973,0.0001534809,0.000005802301],"category_scores_gemma":[0.00005360643,0.0001857638,0.00001960319,0.0003933271,0.00001741162,0.000116996,0.00001668122,0.0004586123,0.00000362359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045854,"about_ca_system_score_gemma":0.00006002915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000278577,"about_ca_topic_score_gemma":0.0001286491,"domain_scores_codex":[0.9984241,0.00008390695,0.0004869114,0.0002693551,0.0002080107,0.0005277152],"domain_scores_gemma":[0.9993215,0.0001003346,0.00008195225,0.0001458406,0.0001127198,0.0002376185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002574732,0.00006500138,0.02246859,0.0005745837,0.0003765717,0.00007349464,0.002234177,0.0009498104,0.9423876,0.006119547,0.000871294,0.02385355],"study_design_scores_gemma":[0.01837343,0.008057632,0.1005612,0.01368934,0.0005831975,0.01542658,0.003190214,0.08341073,0.1595312,0.003320629,0.5845249,0.009331013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874433,0.01020442,0.00071623,0.0002091427,0.0009280765,0.0002268062,0.000004221342,0.00008301335,0.0001848449],"genre_scores_gemma":[0.9919028,0.007264305,0.000003805765,0.00004256707,0.0004324928,0.000007651359,7.045935e-7,0.00004756407,0.000298126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7828565,"threshold_uncertainty_score":0.7575228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017794195072765,"score_gpt":0.2171548867918125,"score_spread":0.2069769448410848,"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."}}