{"id":"W4394857663","doi":"10.1021/acsnano.4c00181","title":"Gate-Tunable Multiband van der Waals Photodetector and Polarization Sensor","year":2024,"lang":"en","type":"article","venue":"ACS Nano","topic":"2D Materials and Applications","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Shanghai Jiao Tong University; Division of Graduate Education; Wisconsin Alumni Research Foundation; Science and Technology Commission of Shanghai Municipality; Industry Canada; University of Wisconsin-Madison; National Natural Science Foundation of China; Canada First Research Excellence Fund; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Army Research Office; Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Photodetector; Optoelectronics; Materials science; Photocurrent; Infrared; Polarization (electrochemistry); Optics; Electric field; van der Waals force; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001761152,0.0001024349,0.0001166124,0.00004205549,0.0001335184,0.0003093215,0.00008192629,0.00006225201,0.0006965831],"category_scores_gemma":[0.00002915194,0.00008337088,0.00001748273,0.000119043,0.0000447749,0.0001927213,0.00005245042,0.00003250835,0.0005721303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166894,"about_ca_system_score_gemma":0.00002715098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122463,"about_ca_topic_score_gemma":0.000008629416,"domain_scores_codex":[0.9992437,0.00002897286,0.0001606832,0.0002783937,0.0001007229,0.0001875359],"domain_scores_gemma":[0.9996487,0.00004648008,0.00002995502,0.0001819458,0.00003446623,0.00005840165],"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":[0.000004538716,0.00001210118,0.00004320362,0.00005227308,0.000003825859,0.00000262656,0.0001188354,0.000007896811,0.9982551,0.0007490474,0.0003657555,0.0003848193],"study_design_scores_gemma":[0.0001181754,0.00001735705,0.0003554118,0.00003166823,0.00001995304,0.00001067537,0.000016638,0.0001998546,0.9692659,0.0005987831,0.02924773,0.0001178175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973869,0.0004590964,0.0006036597,0.0002785544,0.000313425,0.0002279134,0.00007850576,0.0001752837,0.0004766933],"genre_scores_gemma":[0.9957317,0.00005203412,0.001534287,0.0001149343,0.0001103473,0.00004292065,0.00001457913,0.00002107164,0.002378121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02898915,"threshold_uncertainty_score":0.7627096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067947873047658,"score_gpt":0.2473058878477193,"score_spread":0.2366264091172427,"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."}}