{"id":"W4307081142","doi":"","title":"Unsupervised Learning with Ferroelectric Synapses","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Ferroelectricity; Unsupervised learning; Computer science; Artificial intelligence; Materials science; Optoelectronics; Dielectric","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000464772,0.0003245237,0.0006671161,0.0003446911,0.0002663588,0.0005778662,0.0009210079,0.0008546697,0.002719177],"category_scores_gemma":[0.002820068,0.0003202003,0.0004014531,0.0003601947,0.0004509588,0.0007948602,0.0007696229,0.0008874683,0.0005409845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003904088,"about_ca_system_score_gemma":0.0004039372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037964,"about_ca_topic_score_gemma":0.002067729,"domain_scores_codex":[0.9998196,0.0000524157,0.00001020716,0.00005991926,0.00003872266,0.00001916022],"domain_scores_gemma":[0.9988453,0.0006849202,0.00008660714,0.000152426,0.0001777427,0.00005296556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002672949,0.0001455222,0.002263998,0.000286462,0.0001626881,0.0002283891,0.00008413796,0.5710526,0.02652014,0.05191135,0.007158848,0.3399186],"study_design_scores_gemma":[0.000007708815,0.00001488622,0.0002220029,0.000005360956,0.000005601093,0.00003021334,0.000004370814,0.9840943,0.002450097,0.0126203,0.0005418687,0.000003274494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1104736,0.0009790942,0.8779396,0.000989225,0.0002165042,0.00004509884,0.0001938131,0.001153716,0.008009342],"genre_scores_gemma":[0.8527118,0.0005628627,0.1292387,0.000234399,0.0002352911,0.00007471892,0.0003523494,0.0001507384,0.0164391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002719177,"threshold_uncertainty_score":0.009096503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255371748306794,"score_gpt":0.2166257600074548,"score_spread":0.2040720425243869,"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."}}