{"id":"W4401361718","doi":"10.1002/chem.202402026","title":"Dual Aliovalent Dopants Cu, Mn Engineered Eco‐Friendly QDs for Ultra‐Stable Anti‐Counterfeiting","year":2024,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Institut National de la Recherche Scientifique","funders":"Southern University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Dopant; Dual (grammatical number); Environmentally friendly; Materials science; Manganese; Nanotechnology; Doping; Metallurgy; Optoelectronics","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":[0.0001037157,0.0003055336,0.000120083,0.00008959907,0.0000850442,0.0002620039,0.0001723274,0.0002025848,0.0003165184],"category_scores_gemma":[0.00009433443,0.0001633799,0.0001183913,0.00007432771,0.0001320954,0.0002109072,0.000190267,0.000170226,0.0001288403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002764071,"about_ca_system_score_gemma":0.0001154521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005508237,"about_ca_topic_score_gemma":0.001222612,"domain_scores_codex":[0.9999207,0.000008799859,0.000006949129,0.00002444913,0.00002302251,0.00001606185],"domain_scores_gemma":[0.9999441,0.000005893947,0.00001648238,0.000006819541,0.00001751828,0.000009255959],"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":[0.00001212258,0.000004069071,0.00004757632,0.000007898992,0.000001338152,0.000008068077,0.000004901837,0.00006314865,0.9993605,0.00005417119,0.00001321159,0.0004230006],"study_design_scores_gemma":[0.000001727181,0.0000123246,0.0001431146,5.372155e-7,0.000002066136,0.00001127584,0.000002478768,0.0008838577,0.9985936,0.000005505521,0.0003422754,0.000001239381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900998,0.0002900414,0.008535062,0.00004066943,0.00001969387,0.00001636044,0.00008647719,0.00008998185,0.0008218083],"genre_scores_gemma":[0.9922591,0.0001697497,0.005973049,0.00001633472,0.00000245518,0.00001807636,0.00006075504,0.00001646565,0.001484065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005508237,"threshold_uncertainty_score":0.002005458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313077176595553,"score_gpt":0.2368396303450384,"score_spread":0.2137088585790828,"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."}}