{"id":"W3164271819","doi":"10.1088/2053-1583/ac040e","title":"Synergistic enhancement of photoluminesent intensity in monolayer molybdenum disulfide embedded with plasmonic nanostructures for catalytic sensing","year":2021,"lang":"en","type":"article","venue":"2D Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese University of Hong Kong; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; Hong Kong University of Science and Technology; Natural Science Foundation of Hubei Province; Morton Cure Paralysis Fund","keywords":"Molybdenum disulfide; Monolayer; Catalysis; Materials science; Plasmon; Molybdenum; Disulfide bond; Nanostructure; Nanotechnology; Graphene; Chemical engineering; Optoelectronics; Chemistry; Organic chemistry; Metallurgy","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":[0.0001633849,0.0003440913,0.0002301619,0.0001582271,0.0001551002,0.0002581437,0.0003193287,0.0004215271,0.0004736222],"category_scores_gemma":[0.0001843189,0.0002956886,0.0002828896,0.0001138014,0.0001833683,0.0002524699,0.0003238533,0.0002963547,0.000161045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292198,"about_ca_system_score_gemma":0.00009138283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002136613,"about_ca_topic_score_gemma":0.0005861421,"domain_scores_codex":[0.9998796,0.00001851889,0.000006771729,0.00003474677,0.00003964612,0.00002064401],"domain_scores_gemma":[0.9999199,0.00001732537,0.00001850267,0.000008232236,0.00002352482,0.00001264233],"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":[0.00002258377,0.000005129642,0.00005257774,0.00002104298,0.000003944971,0.0000204083,0.00001287638,0.00003419518,0.9991788,0.00004579785,0.00002823311,0.000574333],"study_design_scores_gemma":[0.000001986584,0.00003195689,0.0002636846,0.000001040796,0.000006244131,0.00002931849,0.000007495703,0.0008358844,0.998566,0.000007508695,0.0002469926,0.000002004649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945432,0.0007323736,0.003305513,0.0001027509,0.0000283241,0.000006660856,0.00003435227,0.00005849862,0.001188215],"genre_scores_gemma":[0.9957005,0.0003369079,0.002598902,0.00003739538,0.000008047298,0.000009773989,0.00004064937,0.00001487167,0.001252816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004736222,"threshold_uncertainty_score":0.001663148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134983656878432,"score_gpt":0.2553498501278306,"score_spread":0.2418514844399874,"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."}}