{"id":"W7080437701","doi":"10.5445/ir/1000184684","title":"Epitaxial Interface‐Driven Photoresponse Enhancement in Monolayer WS$_2$ –MoS$_2$ Lateral Heterostructures","year":2025,"lang":"en","type":"article","venue":"Repository KITopen (Karlsruhe Institute of Technology)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of National Intelligence; Defence Science and Technology Group; Ontario Ministry of Natural Resources and Forestry; National Physical Laboratory; RMIT University; Academy of Scientific and Innovative Research; Australian National Fabrication Facility","keywords":"Heterojunction; Photodetector; Responsivity; Monolayer; Chemical vapor deposition; Epitaxy; Semiconductor; Charge carrier; Ultraviolet","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006833002,0.0002244703,0.0001009996,0.00009782104,0.00008400878,0.0002537605,0.0001669268,0.0001499239,0.000508385],"category_scores_gemma":[0.00008666536,0.0001420243,0.0001097011,0.0001079431,0.0001235295,0.0001668927,0.000165619,0.0001884308,0.0001359781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138778,"about_ca_system_score_gemma":0.00008496582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000708124,"about_ca_topic_score_gemma":0.001909917,"domain_scores_codex":[0.9999504,0.000004078433,0.000003042862,0.00001148087,0.0000189633,0.00001196302],"domain_scores_gemma":[0.9999613,0.000008397625,0.00001042676,0.000003797797,0.00001053759,0.000005673291],"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":[0.000005202877,0.000002174015,0.00006991531,0.000007235289,0.000001363905,0.00001742829,0.000005554789,0.00003331008,0.9995462,0.00003786508,0.00002032352,0.0002534304],"study_design_scores_gemma":[0.00000231976,0.00002986015,0.001509962,0.000001092263,0.000003007586,0.00003643063,0.00001485393,0.001622691,0.9964337,0.00001369713,0.0003300473,0.000002297216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972857,0.0002023038,0.001153954,0.00003915171,0.00001268559,0.000003665791,0.0001083975,0.00006115319,0.001133019],"genre_scores_gemma":[0.9976425,0.0002188986,0.001225039,0.00001697451,0.000004381232,0.000006641317,0.00005829049,0.0000111174,0.0008161438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000708124,"threshold_uncertainty_score":0.001700759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006530359902395213,"score_gpt":0.2440594931635446,"score_spread":0.2375291332611494,"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."}}