{"id":"W3036109360","doi":"10.1021/acsami.0c05476","title":"High-Response, Ultrafast-Speed, and Self-Powered Photodetection Achieved in InP@ZnS-MoS<sub>2</sub> Phototransistors with Interdigitated Pt Electrodes","year":2020,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"2D Materials and Applications","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Education Department of Jilin Province; People's Government of Jilin Province; State Administration of Foreign Experts Affairs; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Photodetection; Materials science; Optoelectronics; Ultrashort pulse; Electrode; Photodetector; Optics; Nanotechnology; Laser","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006106933,0.0003178592,0.0001954403,0.0001365007,0.0001049965,0.0003107426,0.0003067635,0.0002317114,0.0004353313],"category_scores_gemma":[0.0001406428,0.0001571459,0.0001297588,0.0001799918,0.0001378159,0.0003256829,0.0002520262,0.000210795,0.0001577747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298163,"about_ca_system_score_gemma":0.0001041088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003724504,"about_ca_topic_score_gemma":0.0007853999,"domain_scores_codex":[0.9999388,0.000005005733,0.000004574873,0.00002227759,0.00001714597,0.00001212205],"domain_scores_gemma":[0.9999512,0.000008610171,0.00001554928,0.000006020036,0.000009677075,0.000009024724],"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":[0.00001892692,0.000004746958,0.0001775139,0.00002076838,0.000004619155,0.00003326312,0.00001393719,0.0001039373,0.9985178,0.00005797414,0.00003301333,0.001013431],"study_design_scores_gemma":[0.000003581163,0.00003725463,0.001213093,0.000001298849,0.00000817381,0.00006712231,0.00001186311,0.00238287,0.9958046,0.00002304976,0.000444102,0.000003045369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959726,0.0002735853,0.002820865,0.00002696253,0.00001576884,0.00000648972,0.0001202316,0.0001245028,0.0006389645],"genre_scores_gemma":[0.9965259,0.000182427,0.002488174,0.00001005729,0.000003861504,0.00000906582,0.0000686323,0.00001584716,0.0006959114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004353313,"threshold_uncertainty_score":0.002163291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006462275676647018,"score_gpt":0.1948376920335307,"score_spread":0.1883754163568837,"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."}}