{"id":"W2472127376","doi":"10.1038/nphoton.2016.124","title":"Stable multilevel memories","year":2016,"lang":"en","type":"article","venue":"Nature Photonics","topic":"Photochromic and Fluorescence Chemistry","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science","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":[0.0001007744,0.000196314,0.0002390497,0.0003010644,0.0005985772,0.001043674,0.0005925733,0.0004315556,0.01744426],"category_scores_gemma":[0.0002720687,0.0001634275,0.0001563455,0.0003101743,0.0002944873,0.001152451,0.0009709501,0.0005778981,0.002349214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004076032,"about_ca_system_score_gemma":0.0002030716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001803933,"about_ca_topic_score_gemma":0.0007599551,"domain_scores_codex":[0.9998999,0.000007753002,0.000005124353,0.0000217932,0.00003693985,0.00002853962],"domain_scores_gemma":[0.9998935,0.00001519861,0.00001875947,0.00003610256,0.00002187613,0.00001454455],"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":[0.000517989,0.0001337485,0.0008072658,0.0002894191,0.00007009848,0.0003083904,0.0002300311,0.001682243,0.629705,0.2872065,0.01899015,0.0600592],"study_design_scores_gemma":[0.0001358951,0.0004353181,0.001551268,0.00007598496,0.00007454862,0.0005869894,0.0002888278,0.0382861,0.7914544,0.07978646,0.08724856,0.00007566815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7979504,0.003386512,0.0353157,0.003097746,0.001184343,0.00009830177,0.001411793,0.001905051,0.15565],"genre_scores_gemma":[0.9788018,0.0002697079,0.00522338,0.0001463591,0.00008818465,0.00003501026,0.0002654019,0.00008190042,0.01508819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01744426,"threshold_uncertainty_score":0.05835682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007845199811884262,"score_gpt":0.2435609082068174,"score_spread":0.2357157083949331,"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."}}