{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009483476,0.0001605548,0.0004346068,0.00004649599,0.00006013233,0.00005314325,0.0002933001,0.00001464759,0.00006085713],"category_scores_gemma":[0.0002186913,0.0001321745,0.0001237635,0.0002166426,0.0001677161,0.0001363443,0.00008705488,0.00009980272,0.00005149857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003436863,"about_ca_system_score_gemma":0.00003439025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006499259,"about_ca_topic_score_gemma":0.00000105233,"domain_scores_codex":[0.998002,0.0002931282,0.0004057004,0.0003486605,0.0006140029,0.0003365056],"domain_scores_gemma":[0.9991663,0.00007522489,0.0002199127,0.0003925374,0.0000559531,0.00009006273],"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":[0.00001446172,0.0000553584,0.00005789053,0.001305556,0.00000196282,0.000003411663,0.00002535951,0.00001727226,0.9893858,0.00005107896,0.00005641868,0.009025464],"study_design_scores_gemma":[0.0002727043,0.0003054428,0.002031635,0.0019912,0.0000778831,0.00001086649,0.000005098011,0.002218109,0.9873893,0.0002416465,0.005173666,0.0002825057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959791,0.002245192,0.0005052191,0.0003235209,0.0001813577,0.000656091,0.0000102019,0.00003831255,0.00006101645],"genre_scores_gemma":[0.9973969,0.0003426831,0.000215487,0.00171169,0.0001947312,0.0001116448,0.000003528442,0.0000207339,0.000002539925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008742958,"threshold_uncertainty_score":0.538992,"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."}}