{"id":"W2593056120","doi":"10.1038/nnano.2017.18","title":"Atomic-scale sensing of the magnetic dipolar field from single atoms","year":2017,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutscher Akademischer Austauschdienst","keywords":"Spins; Dipole; Atomic units; Spin (aerodynamics); Atom (system on chip); Magnetic field; Magnetic resonance force microscopy; Magnetic moment; Electron paramagnetic resonance; Magnetometer; Condensed matter physics; Materials science; Magnetization; Molecular physics; Atomic physics; Physics; Nuclear magnetic resonance; Ferromagnetic resonance","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":[],"consensus_categories":[],"category_scores_codex":[0.00004933715,0.0001372325,0.0002245086,0.00003823894,0.0002624529,0.00002303746,0.0006119303,0.0004320371,0.0001533653],"category_scores_gemma":[0.00001502214,0.0001027689,0.0001201862,0.00007197047,0.0001964115,0.00005566394,0.00009990598,0.00086895,0.00001057845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317652,"about_ca_system_score_gemma":0.00003068702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290494,"about_ca_topic_score_gemma":0.0001085776,"domain_scores_codex":[0.9992034,0.00001705591,0.0001733247,0.0002346416,0.0001056977,0.0002659002],"domain_scores_gemma":[0.9988015,0.00004766655,0.0001869278,0.000903237,0.000035879,0.00002483849],"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":[0.00007975014,0.0002211744,0.1329305,0.00001897453,0.0001891687,0.00000508583,0.0002966691,0.000002253424,0.5476996,0.05607721,0.0009367366,0.2615429],"study_design_scores_gemma":[0.0005437069,0.0001060066,0.007401046,0.00004472217,0.00006575264,0.000001401527,0.00006563814,0.0001095525,0.873805,0.1003359,0.01733317,0.0001881254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927657,0.0008885048,0.001041689,0.002300824,0.0003963892,0.0001132798,0.00003582391,0.00004136223,0.002416475],"genre_scores_gemma":[0.9992045,0.000005069066,0.0003962926,0.0001210463,0.0001163672,0.000001654409,0.000007085639,0.00001542869,0.0001325289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3261054,"threshold_uncertainty_score":0.4190794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003709369689291741,"score_gpt":0.2065096544153321,"score_spread":0.2028002847260403,"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."}}