{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003065372,0.0002401303,0.0006328846,0.00006482636,0.000088028,0.0001218136,0.0001763945,0.00008485318,0.0003405279],"category_scores_gemma":[0.0001069592,0.0001986613,0.0000473711,0.0001519389,0.00008796552,0.0001029794,0.0001338718,0.00003475898,0.00002452104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007440937,"about_ca_system_score_gemma":0.000141031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005327985,"about_ca_topic_score_gemma":0.0002471772,"domain_scores_codex":[0.998194,0.00005716249,0.0006572009,0.0004910432,0.0002131322,0.0003874479],"domain_scores_gemma":[0.9988058,0.00008632606,0.0002984488,0.0005038356,0.0002369472,0.00006870909],"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":[0.0002558409,0.00007772592,0.00002941406,0.000228494,0.00001460029,0.00002025437,0.0002870417,0.0000587974,0.9985126,0.0003539909,0.0001309152,0.0000303552],"study_design_scores_gemma":[0.0006725166,0.00006306383,0.0007361524,0.0001790466,0.00005112392,0.00002907079,0.0002076524,0.00004261138,0.9967811,0.0009413039,0.000060303,0.0002360343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968044,0.00004192979,0.001473598,0.00009959465,0.0006585909,0.0006244867,0.000216326,0.00003699463,0.00004405673],"genre_scores_gemma":[0.9946713,0.00001152416,0.00480527,0.00006853873,0.00008315449,0.0001117429,0.0000969544,0.00003405362,0.0001175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003331671,"threshold_uncertainty_score":0.8101172,"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."}}