{"id":"W4394011982","doi":"10.1002/elt2.30","title":"Colloidal quantum dots and two‐dimensional material heterostructures for photodetector applications","year":2024,"lang":"en","type":"article","venue":"Electron","topic":"2D Materials and Applications","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; Basic Research Programs of Sichuan Province; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Photodetector; Heterojunction; Quantum dot; Materials science; Optoelectronics; Colloid; Nanotechnology; Chemistry","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":[0.000130501,0.0002998358,0.0002206255,0.0003320359,0.0001119709,0.0004174242,0.000187492,0.0004966006,0.0008684733],"category_scores_gemma":[0.00008674878,0.0001700395,0.0002721686,0.0002730802,0.0001099021,0.00040688,0.0002486927,0.0003540517,0.0002757527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057177,"about_ca_system_score_gemma":0.0002116285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003169559,"about_ca_topic_score_gemma":0.0008837244,"domain_scores_codex":[0.9999526,0.000007699474,0.000004353398,0.0000125665,0.00001644777,0.000006266975],"domain_scores_gemma":[0.9999787,0.000007861922,0.000003567824,0.000001540026,0.000005901035,0.000002365503],"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":[0.00006305653,0.00006983263,0.0004405543,0.00237807,0.00006386587,0.000269852,0.00005344668,0.001461886,0.8676296,0.0207248,0.002480664,0.1043643],"study_design_scores_gemma":[0.00004042295,0.0006538759,0.003064677,0.0003668261,0.0001619708,0.001200972,0.0001087056,0.01776548,0.6804233,0.007215758,0.2889365,0.0000615934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1917988,0.7109674,0.06477615,0.00152619,0.001709598,0.0001693746,0.0005046268,0.0004495835,0.0280982],"genre_scores_gemma":[0.5983233,0.3316554,0.05192933,0.0006376639,0.000244069,0.0001645757,0.0005141742,0.00004053232,0.01649089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008684733,"threshold_uncertainty_score":0.002905309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006784067266969134,"score_gpt":0.2726171829253736,"score_spread":0.2658331156584045,"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."}}