{"id":"W4403094251","doi":"10.1088/1361-6528/ad82f1","title":"Enhancement of photoresponse for InGaAs infrared photodetectors using plasmonic WO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> <mml:mo>−</mml:mo> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> /Cs<sub>y</sub>WO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> <mml:mo>−</mml:mo> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> nanocrystals","year":2024,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Ga2O3 and related materials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canada Foundation for Innovation","keywords":"Materials science; Photodetector; Infrared; Plasmon; Optoelectronics; Nanocrystal; Nanotechnology; Optics","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":[0.0001415751,0.0003511831,0.000120573,0.00009229378,0.0001297058,0.0003680696,0.0003453427,0.0003209812,0.001945774],"category_scores_gemma":[0.0002259871,0.0001950403,0.0001771553,0.0001244213,0.0001690585,0.0004012283,0.0002200507,0.0004747979,0.0006543657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359288,"about_ca_system_score_gemma":0.0001876328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00215336,"about_ca_topic_score_gemma":0.004712314,"domain_scores_codex":[0.9999233,0.00000469447,0.000003053404,0.00002015881,0.00002885133,0.0000198813],"domain_scores_gemma":[0.99993,0.00001887238,0.00001319525,0.000006775054,0.00001991402,0.00001112957],"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":[0.00003119723,0.00001229513,0.00004170579,0.0000280575,0.00000273237,0.00002702559,0.0000214094,0.00008340582,0.9978299,0.0002508539,0.0002714882,0.001399965],"study_design_scores_gemma":[0.000004318352,0.00002943778,0.0002772225,0.000003034411,0.000003503538,0.00001594885,0.00001250755,0.001120302,0.9972826,0.00003200689,0.001216839,0.000002345612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698542,0.001499514,0.01032372,0.0004731562,0.0001114255,0.00004217177,0.0002837216,0.0005971745,0.01681488],"genre_scores_gemma":[0.9805382,0.0009752991,0.004596669,0.00009065329,0.00001182006,0.00002251129,0.0001267283,0.00009108563,0.01354717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00215336,"threshold_uncertainty_score":0.006509244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746685762499554,"score_gpt":0.2430399336002677,"score_spread":0.2255730759752721,"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."}}