{"id":"W1980133891","doi":"10.1149/06105.0039ecst","title":"(Invited) The Interplay of Particle Size and Doping Concentration on the Electronic Structure of Doped Quantum Dots","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Laboratório Nacional de Luz Síncrotron; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"XANES; Doping; Quantum dot; Materials science; Photoluminescence; Electronic structure; Absorption spectroscopy; Absorption (acoustics); Spectroscopy; Particle size; Absorption edge; Conduction band; Optoelectronics; Nanotechnology; Analytical Chemistry (journal); Condensed matter physics; Band gap; Chemistry; Physical chemistry; Electron; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002772295,0.0000725885,0.0001123868,0.000007935087,0.0001766297,0.00003214158,0.0001190048,0.00002959145,0.0003143889],"category_scores_gemma":[0.00006386597,0.0000362418,0.00003522052,0.00007128531,0.0001790351,0.00008334603,0.000003505034,0.00009012516,0.000002916746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001002673,"about_ca_system_score_gemma":0.00001491037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006412392,"about_ca_topic_score_gemma":0.00008208545,"domain_scores_codex":[0.9992612,0.0001742118,0.0001898883,0.0001080198,0.0001221051,0.000144547],"domain_scores_gemma":[0.9991892,0.0004897719,0.00008398264,0.0001860504,0.00003264365,0.00001837347],"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":[0.00004342487,0.00001974602,0.00004731677,0.00001500218,0.00001025887,2.496149e-8,0.001192425,0.000467327,0.9884301,0.009222675,0.00002756987,0.0005240858],"study_design_scores_gemma":[0.0001225901,0.0001287616,0.001326913,0.00003727292,0.00002638036,0.000002150629,0.000300715,0.005702831,0.9903586,0.001256927,0.000685633,0.00005123921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923021,0.0001655122,0.00362216,0.003588695,0.0001077784,0.0001333951,0.00001464619,0.00001258053,0.00005315257],"genre_scores_gemma":[0.9996357,0.00005517179,0.00002352007,0.0002379987,0.00002030168,0.000006200713,2.777248e-7,0.000005932458,0.00001488325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007965747,"threshold_uncertainty_score":0.3442338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040015663319863,"score_gpt":0.2269033637863144,"score_spread":0.2165032071531158,"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."}}