{"id":"W2005942757","doi":"10.1103/physrevlett.88.113601","title":"Quantum State Preparation and Conditional Coherence","year":2002,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Postselection; Coherence (philosophical gambling strategy); Physics; Spontaneous parametric down-conversion; Parametric statistics; Photon; Quantum mechanics; Phase (matter); Quantum optics; State (computer science); Quantum; Quantum state; Optics; Quantum entanglement; Computer science; Algorithm; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008164319,0.00008464932,0.0001295122,0.000028127,0.00006173323,0.00007162181,0.0001860282,0.000003455675,0.00004049203],"category_scores_gemma":[0.00001384479,0.00007075875,0.0000565484,0.0002101276,0.0000566314,0.0006541425,0.00003844016,0.00006791238,0.0002736821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008006779,"about_ca_system_score_gemma":0.000003543226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001663547,"about_ca_topic_score_gemma":1.893763e-7,"domain_scores_codex":[0.999309,0.00004176745,0.000163715,0.0001520084,0.0002104387,0.0001230703],"domain_scores_gemma":[0.9995884,0.00005115901,0.00008252139,0.0001832554,0.00002766127,0.00006705894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004981086,0.0003520149,0.0003444569,0.001271477,0.00005928106,0.00001088514,0.002043967,0.0001973067,0.00449504,0.6791122,0.2620611,0.0500473],"study_design_scores_gemma":[0.000523927,0.0001813511,0.005518534,0.0006596538,0.00002736003,0.0000326964,0.000005463669,0.8635012,0.0003864692,0.02820534,0.1003459,0.000612105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4548318,0.009472439,0.4886877,0.0425289,0.0002065798,0.0009900313,0.00001780007,0.0004921733,0.002772544],"genre_scores_gemma":[0.9659058,0.00191527,0.000724397,0.03137435,0.00002689488,0.00003666992,0.000006321976,0.00000278265,0.00000752255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8633039,"threshold_uncertainty_score":0.351772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058230914926496,"score_gpt":0.2777700111522936,"score_spread":0.2571877020030287,"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."}}