{"id":"W4404635124","doi":"10.1016/j.physb.2024.416745","title":"Aharonov–Bohm flux and dual gaps effects on energy levels in graphene magnetic quantum dots","year":2024,"lang":"en","type":"article","venue":"Physica B Condensed Matter","topic":"Graphene research and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Quantum Research Center","funders":"","keywords":"Graphene; Quantum dot; Condensed matter physics; Dual (grammatical number); Flux (metallurgy); Magnetic flux; Quantum; Materials science; Physics; Band gap; Magnetic field; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001475921,0.0001950535,0.0002111659,0.000195738,0.0000839913,0.0002023471,0.0001495209,0.00004257324,0.0007342177],"category_scores_gemma":[0.000008677482,0.0001692878,0.00006024366,0.000362988,0.0001447397,0.000168702,0.00008332838,0.0001480646,0.001663696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002450025,"about_ca_system_score_gemma":0.0000426266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182886,"about_ca_topic_score_gemma":0.00001983962,"domain_scores_codex":[0.9984892,0.0001145931,0.0001789235,0.0005104655,0.0002621825,0.0004446385],"domain_scores_gemma":[0.9991775,0.0003194255,0.00002440859,0.0003163168,0.00002881099,0.0001335841],"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":[0.00001584947,0.00007165298,0.00006174795,0.0001203222,0.000007797126,0.00003235745,0.0001166037,0.00000276469,0.9649656,0.02223657,0.01103033,0.001338389],"study_design_scores_gemma":[0.0006196402,0.0002480159,0.0304064,0.0001854619,0.00002230355,0.00001294014,0.00003247644,0.000366734,0.9220111,0.03982439,0.005899774,0.0003707532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951828,0.0005055452,0.0000910041,0.002515247,0.0001288521,0.0002165047,0.00005484627,0.0000872179,0.001217987],"genre_scores_gemma":[0.9979922,0.00002459377,0.00006519814,0.0007241194,0.00012135,0.0002358218,0.00001352344,0.00003063129,0.0007925456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0429545,"threshold_uncertainty_score":0.9991136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370638555085675,"score_gpt":0.2639101022477565,"score_spread":0.2502037166968998,"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."}}