{"id":"W3107548225","doi":"10.1109/tit.2020.3040255","title":"Information Density in Multi-Layer Resistive Memories","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Layer (electronics); Resistive touchscreen; Computer science; Materials science; Nanotechnology; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004425282,0.0002302919,0.0003662897,0.0006939278,0.0003908178,0.0008717771,0.0008659991,0.0005311709,0.001046162],"category_scores_gemma":[0.003843091,0.0002544093,0.0001687477,0.0005094947,0.000965743,0.001939084,0.001009174,0.0006456289,0.0002355837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007664871,"about_ca_system_score_gemma":0.0002694612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290698,"about_ca_topic_score_gemma":0.0004295173,"domain_scores_codex":[0.9996912,0.00005472842,0.00001459438,0.00004482277,0.0001375519,0.00005718433],"domain_scores_gemma":[0.9983802,0.001048282,0.0001104293,0.0001927946,0.0002115579,0.00005671318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002523793,0.0001116291,0.001667679,0.0003239008,0.00002689316,0.0005375396,0.0004610694,0.187259,0.09770807,0.6638169,0.001601471,0.04623342],"study_design_scores_gemma":[0.000009986436,0.00008587261,0.001027843,0.00005966265,0.00001570537,0.0004072749,0.00009594566,0.8220823,0.04267458,0.1319077,0.001593874,0.00003919308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5709932,0.003435101,0.3825857,0.0006184595,0.00007591646,0.00004343742,0.0001549133,0.0007494123,0.04134383],"genre_scores_gemma":[0.9870084,0.0004410713,0.01127031,0.00004264798,0.00001631599,0.00002699107,0.0000380231,0.00001967086,0.001136474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001046162,"threshold_uncertainty_score":0.005561292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022912714619729,"score_gpt":0.2335946066880638,"score_spread":0.2106818920683348,"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."}}