{"id":"W3105959106","doi":"10.1007/s12043-016-1259-x","title":"Review: Characterizing and quantifying quantum chaos with quantum tomography","year":2016,"lang":"en","type":"article","venue":"Pramana","topic":"Quantum chaos and dynamical systems","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quantum chaos; Quantum information; Random matrix; Quantum process; Quantum operation; Quantum; Operator (biology); Quantum algorithm; Quantum error correction; Quantum state","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":[0.0002549002,0.0002456553,0.0003827127,0.00006904089,0.0001465504,0.00006574026,0.0001457115,0.00003734846,0.0001507523],"category_scores_gemma":[0.000008787138,0.0001402853,0.00009987729,0.000195274,0.00009277565,0.0002681789,0.00006245451,0.0001154043,0.00007216068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001066605,"about_ca_system_score_gemma":0.00001861467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000219073,"about_ca_topic_score_gemma":0.000007301038,"domain_scores_codex":[0.9986192,0.00006757765,0.0003251839,0.0004079389,0.0001787846,0.0004013033],"domain_scores_gemma":[0.9991568,0.00009744595,0.0002036375,0.000320427,0.00005466518,0.0001670415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001140249,0.0002836085,0.3792186,0.001758256,0.0004299165,0.00001987377,0.0003050049,4.202882e-7,0.01945497,0.4771902,0.003520138,0.117705],"study_design_scores_gemma":[0.009450325,0.002108129,0.1779692,0.05471104,0.0009350037,0.0001020633,0.001278919,0.01315783,0.003146778,0.04136902,0.6893165,0.006455168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686036,0.00913273,0.01526334,0.003912647,0.000294569,0.0007718522,0.0000744342,0.000152987,0.001793818],"genre_scores_gemma":[0.9983714,0.0007840973,0.00007875995,0.0003237588,0.0002289051,0.00006251192,0.00001519803,0.00003357603,0.0001018486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6857964,"threshold_uncertainty_score":0.5720667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786175548775437,"score_gpt":0.2503407163726654,"score_spread":0.232478960884911,"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."}}