{"id":"W2131847182","doi":"10.1103/physrevd.71.024029","title":"Random walk in generalized quantum theory","year":2005,"lang":"en","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum decoherence; Quantum walk; Generalization; Random walk; Mathematics; Statistical physics; Quantum probability; Heterogeneous random walk in one dimension; Pairwise comparison; Invariant (physics); Quantum mechanics; Quantum; Physics; Quantum process; Quantum algorithm; Mathematical physics; Quantum dynamics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001722261,0.0006387222,0.001250199,0.001208971,0.0008513851,0.001796495,0.001092166,0.001581823,0.00298942],"category_scores_gemma":[0.002394784,0.0003473291,0.0009132935,0.0009848314,0.003885431,0.003808628,0.001123503,0.001809548,0.0004473329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881805,"about_ca_system_score_gemma":0.001275185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003187469,"about_ca_topic_score_gemma":0.001922606,"domain_scores_codex":[0.9990482,0.0004210993,0.00003447281,0.0001512434,0.0002376801,0.0001073024],"domain_scores_gemma":[0.9989213,0.0005294219,0.0001154291,0.0001599641,0.0001684626,0.000105428],"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":[0.000001665612,0.000002302505,0.00002810574,0.00001286454,0.000003748425,0.00001557468,0.0000185473,0.002779767,0.00009256412,0.9962527,0.0002412924,0.0005509329],"study_design_scores_gemma":[0.000005294054,0.00000528116,0.00007181265,0.00000839902,0.000001749047,0.0000167852,0.000008087224,0.01842657,0.00002029958,0.9803979,0.001032121,0.000005611123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1675711,0.02248625,0.6554013,0.01473136,0.001219351,0.0002188956,0.0005898274,0.0004280871,0.1373537],"genre_scores_gemma":[0.9057943,0.007609446,0.06178509,0.00189903,0.001373221,0.0003205466,0.0002416525,0.00009848772,0.02087828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003187469,"threshold_uncertainty_score":0.01365352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925100991634188,"score_gpt":0.3266413372667847,"score_spread":0.3073903273504429,"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."}}