{"id":"W2089368486","doi":"10.1103/physrevlett.113.197601","title":"Magnetic Resonance Detection of Individual Proton Spins Using Quantum Reporters","year":2014,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Defense Advanced Research Projects Agency; Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Spins; Proton; Quantum; Proton magnetic resonance; Physics; Nuclear magnetic resonance; Atomic physics; Condensed matter physics; Materials science; Nuclear physics; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003390517,0.0002182745,0.0002471303,0.0002085772,0.0002121933,0.0004003543,0.0006519234,0.0004440623,0.0006331631],"category_scores_gemma":[0.0006136871,0.0001396212,0.00009838307,0.0001395104,0.0007249677,0.0006168152,0.0005661427,0.0005375514,0.0001935314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296991,"about_ca_system_score_gemma":0.0001886638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001874114,"about_ca_topic_score_gemma":0.0003350986,"domain_scores_codex":[0.9997179,0.00004971526,0.000008140497,0.00007962863,0.0001136553,0.00003092206],"domain_scores_gemma":[0.9997286,0.0001088211,0.00006105275,0.00003569969,0.00003758766,0.00002830166],"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":[0.00003865006,0.00001917935,0.0001803384,0.00004100239,0.000004035914,0.00005151422,0.00005825803,0.0002573926,0.9916266,0.003041734,0.00009827026,0.004582976],"study_design_scores_gemma":[0.00001490666,0.0001165674,0.0002071432,0.000002434104,0.000005531281,0.0001309209,0.00002199498,0.004020303,0.9932414,0.0006355292,0.001591066,0.00001215554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702597,0.001324898,0.1231369,0.0005972516,0.00009199473,0.00004546644,0.0001220228,0.0003260286,0.004095701],"genre_scores_gemma":[0.960353,0.0004776889,0.0376946,0.0000873981,0.00003385395,0.00003139674,0.00004777188,0.00002096738,0.001253396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006519234,"threshold_uncertainty_score":0.002118111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811230288629023,"score_gpt":0.311711345844189,"score_spread":0.2835990429578988,"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."}}