{"id":"W2786448627","doi":"10.15781/t2hx16701","title":"Cerium oxide based resistive random access memory devices","year":2017,"lang":"en","type":"dissertation","venue":"Texas ScholarWorks (Texas Digital Library)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Resistive random-access memory; Cerium oxide; Cerium; Random access; Resistive touchscreen; Oxide; Materials science; Computer science; Optoelectronics; Electrical engineering; Operating system; Engineering; Metallurgy","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001539316,0.001119927,0.00109513,0.0004379096,0.0004942158,0.004574526,0.002202076,0.0007779963,0.0005469831],"category_scores_gemma":[0.0004015885,0.001133129,0.0004844623,0.0004076886,0.000102061,0.01176429,0.0002098692,0.002126772,0.0004734328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008105291,"about_ca_system_score_gemma":0.0001874925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005681547,"about_ca_topic_score_gemma":0.00001405001,"domain_scores_codex":[0.9966016,0.00007851455,0.000856266,0.001000068,0.0005613875,0.0009021761],"domain_scores_gemma":[0.9973367,0.00050607,0.0005172727,0.001196756,0.00009598448,0.0003472494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01601966,0.001256548,0.04451529,0.0193796,0.003912728,0.005021695,0.0005058677,0.2387851,0.002658013,0.001010529,0.1937461,0.4731889],"study_design_scores_gemma":[0.01336622,0.0004543235,0.2645999,0.02024014,0.001136275,0.00006611795,0.0003159075,0.01477892,0.3933505,0.006416706,0.2706323,0.01464275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6155218,0.005780648,0.0006343402,0.00007992288,0.002840472,0.001223669,0.0004334055,0.003240081,0.3702456],"genre_scores_gemma":[0.9297994,0.0001428116,0.0004744996,0.0002705594,0.0008019878,0.00004483644,0.004203108,0.0005428444,0.06371998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4585461,"threshold_uncertainty_score":0.9991119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635372748347896,"score_gpt":0.2564595214281298,"score_spread":0.2401057939446508,"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."}}