{"id":"W1995207348","doi":"10.1103/physrevlett.112.040406","title":"Weak Value Amplification is Suboptimal for Estimation and Detection","year":2014,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Postselection; Weak measurement; Estimator; Observable; Value (mathematics); Computer science; Noise (video); SIGNAL (programming language); Statistical physics; Algorithm; Statistics; Physics; Mathematics; Quantum; Quantum mechanics; Artificial intelligence","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":[0.01623635,0.001746159,0.001919344,0.001583451,0.001330161,0.002838385,0.002664556,0.00214745,0.003986719],"category_scores_gemma":[0.07899164,0.001368994,0.001019138,0.001083784,0.008821663,0.00758171,0.005793069,0.003983774,0.001386299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402403,"about_ca_system_score_gemma":0.001889736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004621359,"about_ca_topic_score_gemma":0.0003792294,"domain_scores_codex":[0.9876382,0.005430769,0.0006457564,0.002452782,0.002908861,0.0009236014],"domain_scores_gemma":[0.9322044,0.04768142,0.004926455,0.01173017,0.002617139,0.0008403792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005768283,0.0001667411,0.004142209,0.0003655354,0.0001617619,0.000313581,0.0004261574,0.068418,0.03225678,0.8370978,0.002093132,0.05398148],"study_design_scores_gemma":[0.00005457573,0.0002999966,0.000889281,0.0000706827,0.0000454535,0.0002472277,0.00008444797,0.3403887,0.02837957,0.6272746,0.002169651,0.00009594338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02539702,0.0001675955,0.9685662,0.0009879487,0.00006197924,0.00008092579,0.00007185892,0.0003943544,0.00427213],"genre_scores_gemma":[0.7175404,0.0003715745,0.2767906,0.0009985054,0.0001798746,0.0005708819,0.0001804171,0.0003048379,0.003063044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01623635,"threshold_uncertainty_score":0.08586705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338381331383725,"score_gpt":0.2917907659795242,"score_spread":0.2784069526656869,"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."}}