{"id":"W2743487474","doi":"10.1126/sciadv.1700481","title":"HfSe <sub>2</sub> and ZrSe <sub>2</sub> : Two-dimensional semiconductors with native high-κ oxides","year":2017,"lang":"en","type":"article","venue":"Science Advances","topic":"2D Materials and Applications","field":"Materials Science","cited_by":290,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Air Force Office of Scientific Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; Division of Emerging Frontiers in Research and Innovation; National Science Foundation","keywords":"Semiconductor; Materials science; Dielectric; Silicon; Optoelectronics; Band gap; Transistor; Insulator (electricity); Monolayer; Silicon on insulator; Nanotechnology; Engineering physics; Voltage; Electrical engineering; Physics","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.000824047,0.0002723718,0.0003017916,0.0001153668,0.00217831,0.000671231,0.0008318016,0.00004490253,0.00003082567],"category_scores_gemma":[0.0002289401,0.0001989393,0.00002970236,0.0002541826,0.003360396,0.003034453,0.0003651415,0.0001031825,0.0001111013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005999731,"about_ca_system_score_gemma":0.0002502637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006368633,"about_ca_topic_score_gemma":0.0001456485,"domain_scores_codex":[0.9975314,0.00004284849,0.00028994,0.0009103967,0.0006466467,0.000578825],"domain_scores_gemma":[0.9982418,0.0001059982,0.0004202833,0.0007030917,0.0002812758,0.000247513],"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":[0.00002602538,0.00003860554,0.0002396887,0.00001441453,0.000002574704,0.000005682422,0.0001375616,0.0002342268,0.9946655,0.001998198,0.00004034416,0.002597166],"study_design_scores_gemma":[0.0003853518,0.00008993017,0.004605469,0.00008125185,0.000015179,0.00002792052,0.0001211759,0.00003274783,0.9884424,0.005693377,0.0001945142,0.0003107397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979866,0.0002198089,0.00004886832,0.0004918531,0.0005877846,0.0003265422,0.00006763219,0.00009242316,0.0001785061],"genre_scores_gemma":[0.9965174,0.0000683298,0.002989167,0.0001438206,0.0001507388,0.00008547056,0.000004406182,0.00001835367,0.0000222804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006223169,"threshold_uncertainty_score":0.9993519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216461672748894,"score_gpt":0.2701834036322847,"score_spread":0.2580187869047957,"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."}}