{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308962,0.0003231887,0.0002633729,0.0002723991,0.0001718627,0.0004535491,0.0007839306,0.0005707328,0.001249189],"category_scores_gemma":[0.0001974285,0.0002697305,0.0001375502,0.0003218517,0.0002607082,0.0005335354,0.00048152,0.0003698425,0.0004234248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004729829,"about_ca_system_score_gemma":0.0001953952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003834235,"about_ca_topic_score_gemma":0.001157406,"domain_scores_codex":[0.9997732,0.00001603894,0.000009021069,0.00006170346,0.00009773362,0.00004222016],"domain_scores_gemma":[0.9998901,0.00002089696,0.00002856712,0.00001489112,0.00002637032,0.00001919285],"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":[0.00003786638,0.00003374779,0.0002227403,0.00002519737,0.000006950701,0.00007257913,0.00001334078,0.0003071906,0.9922662,0.0009288253,0.0004239961,0.005661348],"study_design_scores_gemma":[0.00001426334,0.00006943145,0.0008174882,0.000003313877,0.000006056476,0.000215243,0.0000139439,0.009709057,0.9854376,0.0001967233,0.003498882,0.00001790254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393095,0.001773515,0.04398936,0.0007039206,0.0002423143,0.0001087661,0.0008416322,0.0007547847,0.01227626],"genre_scores_gemma":[0.9731932,0.0004188384,0.02143426,0.0001442976,0.00003439137,0.00005896772,0.0001785676,0.00003289261,0.004504565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001249189,"threshold_uncertainty_score":0.004178941,"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."}}