{"id":"W2892126875","doi":"10.1016/j.ssc.2019.113752","title":"Theory of atomic scale quantum dots in silicon: Dangling bond quantum dots on silicon surface","year":2019,"lang":"en","type":"preprint","venue":"Solid State Communications","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Dangling bond; Quantum dot; Silicon; Ab initio; Atomic units; Atom (system on chip); Atomic orbital; Hamiltonian (control theory); Strained silicon; Linear combination of atomic orbitals; Electron; Atomic physics; Molecular physics; Ab initio quantum chemistry methods; Materials science; Condensed matter physics; Chemistry; Physics; Nanotechnology; Quantum mechanics; Crystalline silicon; Molecule; Amorphous silicon","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008773468,0.0005493137,0.0009696049,0.0002339148,0.0002142254,0.00006927081,0.002014841,0.0001985595,0.000129941],"category_scores_gemma":[0.0000091657,0.0005834893,0.0003457811,0.0002963725,0.0003268399,0.0001328319,0.0007101936,0.001827606,0.0001217869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412568,"about_ca_system_score_gemma":0.0004681353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008475864,"about_ca_topic_score_gemma":0.0001978436,"domain_scores_codex":[0.9968354,0.0004388338,0.001115242,0.0006558298,0.0002796726,0.0006749917],"domain_scores_gemma":[0.9944015,0.0005262377,0.0006609795,0.004111372,0.0001618258,0.0001380448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006989522,0.004384055,0.1175972,0.0009285337,0.001098982,0.000004224736,0.02510159,0.08034581,0.01531286,0.7474418,0.0006530989,0.006432967],"study_design_scores_gemma":[0.003494245,0.0004257013,0.03256313,0.002067559,0.0003415354,0.000001378144,0.006380342,0.06645636,0.01863698,0.8633779,0.003635389,0.002619427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848018,0.001809245,0.0008786345,0.0003911392,0.0002689445,0.0009485343,0.0008968209,0.00007164942,0.009933187],"genre_scores_gemma":[0.9972093,0.0007899624,0.0001545941,0.00004535129,0.00004426993,0.00009479563,0.001237514,0.00009458482,0.0003296793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159362,"threshold_uncertainty_score":0.9996616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586221092968444,"score_gpt":0.2891651022806665,"score_spread":0.2633028913509821,"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."}}