{"id":"W2418723033","doi":"10.1063/1.4953256","title":"Design strategy of two-dimensional material field-effect transistors: Engineering the number of layers in phosphorene FETs","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"2D Materials and Applications","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Phosphorene; Materials science; Optoelectronics; Transistor; Field-effect transistor; Leakage (economics); Electronics; Ballistic conduction; Doping; Semiconductor; Nanotechnology; Monolayer; Voltage; Electrical engineering; Physics; Electron; Engineering","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":[0.00009279663,0.0003437003,0.000276695,0.0001797237,0.0002068088,0.0003991851,0.0006002388,0.0003975876,0.0009763806],"category_scores_gemma":[0.0001572129,0.0002796455,0.0002604428,0.0001303846,0.000173088,0.0004448145,0.0002108994,0.0002440517,0.0002580133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515346,"about_ca_system_score_gemma":0.0003697852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004987711,"about_ca_topic_score_gemma":0.0009466543,"domain_scores_codex":[0.9999624,0.000004993002,0.000001880278,0.00001109493,0.00001235404,0.000007204412],"domain_scores_gemma":[0.9999658,0.00000710854,0.000009216327,0.000003753554,0.000007788962,0.000006389263],"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":[0.000126815,0.0001367173,0.001132014,0.0003458477,0.00007568188,0.0003497476,0.00006274398,0.2091943,0.7578886,0.01441333,0.0007360071,0.01553819],"study_design_scores_gemma":[0.00008820124,0.0004360176,0.0009835999,0.00002467062,0.00005185197,0.0001521132,0.00004320388,0.8767318,0.1129868,0.003125965,0.005340106,0.00003559342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7032525,0.001459804,0.2715551,0.0005283079,0.0001494951,0.00031296,0.0005258301,0.0005801871,0.02163589],"genre_scores_gemma":[0.9063,0.0005778797,0.0906663,0.00008096631,0.00001629285,0.0002819595,0.0001374542,0.00003514657,0.001903944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009763806,"threshold_uncertainty_score":0.00327611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223171930515707,"score_gpt":0.2465832075955267,"score_spread":0.2343514882903696,"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."}}