{"id":"W4400466529","doi":"10.1021/acsaenm.4c00293","title":"Asymmetric-Resistive-Switching Device with Reconfigurable Synaptic Functions for Logic-In-Memory","year":2024,"lang":"en","type":"article","venue":"ACS Applied Engineering Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Materials science","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":[0.000265091,0.000289758,0.000334236,0.000281762,0.00006958795,0.0001346552,0.0001333875,0.00009681867,0.00002124494],"category_scores_gemma":[0.00003903925,0.0002694826,0.00003056512,0.0004577633,0.00000834227,0.0001651084,0.00001809589,0.0001912409,0.00004593713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103211,"about_ca_system_score_gemma":0.00001414278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003505311,"about_ca_topic_score_gemma":0.000001962354,"domain_scores_codex":[0.9987855,0.000006616181,0.0003282976,0.0003352617,0.00009404413,0.0004502921],"domain_scores_gemma":[0.9993516,0.0003510226,0.00002410886,0.0001923843,0.00001855498,0.00006236503],"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":[0.00002126648,0.000004607361,5.486853e-7,0.0006256424,0.0000506549,0.00001514075,0.00003643786,0.3461694,0.6492089,0.001459883,0.00006247421,0.002345085],"study_design_scores_gemma":[0.0004778194,0.00006570785,0.0001577209,0.0004672683,0.00006508049,0.00004057253,0.00005791493,0.01203914,0.9819027,0.0003506202,0.003710537,0.0006649744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246161,0.0008258159,0.1692303,0.00003099904,0.001348637,0.0006690813,0.00003035841,0.001703478,0.001545218],"genre_scores_gemma":[0.995921,0.00003518142,0.003296451,0.00002422473,0.0002634324,0.0002589288,0.00002225216,0.0001121935,0.00006639179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341302,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377611716076456,"score_gpt":0.2182833877176714,"score_spread":0.2045072705569069,"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."}}