{"id":"W2978124436","doi":"10.1103/physrevresearch.2.033216","title":"Efficient and robust signal sensing by sequences of adiabatic chirped pulses","year":2020,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Ministry of Science and Technology, Israel; Volkswagen Foundation; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; European Commission; Bundesministerium für Bildung und Forschung; Baden-Württemberg Stiftung; Canadian Institute for Advanced Research","keywords":"Adiabatic process; Physics; Computer science; 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":[0.0001823457,0.0001900513,0.000135531,0.0001459615,0.0001641105,0.0002226963,0.0005221151,0.0002259905,0.0008108964],"category_scores_gemma":[0.0004488829,0.0001582185,0.00005580855,0.0001703385,0.0003629193,0.0004515798,0.0004505236,0.0003518394,0.0001741919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199803,"about_ca_system_score_gemma":0.0002032591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898258,"about_ca_topic_score_gemma":0.0004013345,"domain_scores_codex":[0.9998865,0.00001428031,0.000006426337,0.00002781015,0.00005144226,0.00001346135],"domain_scores_gemma":[0.9998374,0.00004972158,0.00004450159,0.00003098648,0.00002124432,0.00001622387],"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":[0.00006409933,0.00003031484,0.0002094753,0.00006357273,0.000005373009,0.00005529435,0.0000470895,0.001843658,0.9674717,0.007790952,0.0001609395,0.02225754],"study_design_scores_gemma":[0.00001957089,0.0001836778,0.0005058729,0.000007298999,0.000005673434,0.0001549579,0.00002040376,0.04897216,0.9443217,0.002120093,0.003671393,0.00001715001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955174,0.0009304169,0.2936535,0.0003160818,0.0001256066,0.0001351991,0.0001311008,0.0006777686,0.008512903],"genre_scores_gemma":[0.9181671,0.0002740288,0.07971785,0.0000933571,0.00003183475,0.00005679896,0.00005740259,0.00002025927,0.001581331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008108964,"threshold_uncertainty_score":0.002712727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09227495323941169,"score_gpt":0.3820056226234094,"score_spread":0.2897306693839977,"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."}}