{"id":"W3084090710","doi":"10.1088/1402-4896/abb632","title":"Scattering in gapped graphene quantum dot with magnetic flux","year":2020,"lang":"en","type":"article","venue":"Physica Scripta","topic":"Graphene research and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Quantum Research Center","funders":"","keywords":"Scattering; Physics; Quantum dot; Electron; Magnetic field; RADIUS; Graphene; Condensed matter physics; Magnetic flux; Scattering theory; Flux (metallurgy); Quantum mechanics; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.00008086945,0.0001255001,0.0001683331,0.00005294923,0.00008514088,0.00008766877,0.0003517825,0.00001728248,0.0002751972],"category_scores_gemma":[0.00001470841,0.00010445,0.00003835073,0.0006081105,0.0001372953,0.0001591637,0.00009014266,0.0001121421,0.000535565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118554,"about_ca_system_score_gemma":0.00003926131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467429,"about_ca_topic_score_gemma":0.00002680346,"domain_scores_codex":[0.9987937,0.00004463197,0.0001473057,0.0003626856,0.0002656459,0.0003860848],"domain_scores_gemma":[0.9994414,0.00001389004,0.00003626229,0.000283053,0.00003615307,0.0001891828],"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":[0.00003543351,0.00007324001,0.0006933453,0.00002813366,0.000002289878,0.000005273019,0.0002158592,0.00001491924,0.9905266,0.003851873,0.004152894,0.0004001076],"study_design_scores_gemma":[0.002585336,0.001191661,0.06683494,0.0001621865,0.00003801199,0.000008728198,0.0008815775,0.008169632,0.8850191,0.0154124,0.01869649,0.0009999593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930937,0.0001199359,0.0003510856,0.004941632,0.0000426855,0.0002684059,0.00001807871,0.00009448986,0.001069991],"genre_scores_gemma":[0.9985602,0.00000922472,0.000733775,0.0003969332,0.0000835374,0.0001139853,0.000008879701,0.00001795813,0.00007549582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055076,"threshold_uncertainty_score":0.6883782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012396036795863,"score_gpt":0.2574898647367748,"score_spread":0.2273659043688162,"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."}}