{"id":"W4225904662","doi":"10.1109/mnano.2022.3160772","title":"Chalcogenide Phase-Change Material Germanium Telluride for Radio-Frequency Applications: An overview","year":2022,"lang":"en","type":"article","venue":"IEEE Nanotechnology Magazine","topic":"Phase-change materials and chalcogenides","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chalcogenide; Materials science; Radio frequency; Electronic circuit; RF switch; Optoelectronics; Miniaturization; Microelectromechanical systems; Switching time; Phase-change memory; Electrical engineering; Electronic engineering; Nanotechnology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009018838,0.0004737206,0.0006838358,0.0003765553,0.0007939432,0.0001027849,0.001287508,0.0003134882,0.003120687],"category_scores_gemma":[0.00002150273,0.0004948864,0.0001740383,0.0004488039,0.0002780677,0.0004242137,0.0003395545,0.0002291918,0.0003770135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130887,"about_ca_system_score_gemma":0.00008724283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005817197,"about_ca_topic_score_gemma":0.00003549274,"domain_scores_codex":[0.9966747,0.0001906272,0.0007576455,0.001050369,0.0003858255,0.0009408295],"domain_scores_gemma":[0.9980512,0.00007083471,0.0004204702,0.001171018,0.0001300159,0.0001564621],"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":[0.0002486499,0.0005326968,0.000006114568,0.0001120434,0.00002244374,0.00004073415,0.0001173061,0.000005606828,0.984372,0.007899201,0.001007125,0.00563606],"study_design_scores_gemma":[0.00216586,0.0009446754,0.00001129215,0.00001516621,0.0001006778,0.0003550743,0.00006467078,0.0001200408,0.8585532,0.008983975,0.1280857,0.0005996943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799454,0.00376422,0.002562115,0.001410818,0.003318794,0.00322994,0.004347918,0.001319292,0.0001014876],"genre_scores_gemma":[0.9748115,0.0006104358,0.004235466,0.001208797,0.001888353,0.01623385,0.0005695673,0.0001659231,0.0002760952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270786,"threshold_uncertainty_score":0.9997503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09072579120710408,"score_gpt":0.3360196349203337,"score_spread":0.2452938437132296,"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."}}