{"id":"W4412524219","doi":"10.31438/trf.hh2024.73","title":"INTEGRATION OF GRAPHENE-POLYMER HETEROSTRUCTURE MEMBRANES INTO A MULTI-USER MEMS FABRICATION PROCESS","year":2024,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Institute for Health and Care Research; Manchester Biomedical Research Centre; CMC Microsystems","keywords":"Fabrication; Graphene; Microelectromechanical systems; Materials science; Membrane; Heterojunction; Polymer; Nanotechnology; Process (computing); Optoelectronics; Computer science; Composite material; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002704534,0.0003577046,0.0001933101,0.000296227,0.0002948297,0.0002797425,0.000416567,0.0005531328,0.000805081],"category_scores_gemma":[0.0003872678,0.000220256,0.0002654841,0.0002390433,0.0001867979,0.0004760814,0.0005428062,0.0005043167,0.0003574339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955271,"about_ca_system_score_gemma":0.0002166645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003272799,"about_ca_topic_score_gemma":0.0008534632,"domain_scores_codex":[0.9996852,0.00003686175,0.00001791489,0.00005090964,0.0001716677,0.0000374541],"domain_scores_gemma":[0.9997862,0.00005765611,0.00005160616,0.00005067103,0.0000353578,0.00001847729],"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":[0.00001265563,0.000009348423,0.0001198028,0.00003347499,0.000006192628,0.00007088784,0.0000155858,0.0001439481,0.9958377,0.0002704977,0.00008037043,0.003399595],"study_design_scores_gemma":[0.000002975327,0.00007075458,0.0007736858,0.000003187788,0.000006995704,0.0001641445,0.00001111845,0.00141726,0.9952185,0.00007925119,0.002243987,0.000008160015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9110397,0.002166238,0.07760759,0.0005017887,0.0002801068,0.0001628521,0.0005009585,0.0009830598,0.006757698],"genre_scores_gemma":[0.9143901,0.0006588802,0.08291082,0.00008511331,0.00003619966,0.00007485501,0.0001237304,0.00003382872,0.001686476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000805081,"threshold_uncertainty_score":0.002693236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516486149818798,"score_gpt":0.2706814329308315,"score_spread":0.2555165714326436,"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."}}