{"id":"W4415500129","doi":"10.1007/978-3-031-90731-9_25","title":"Quantum Error Correction","year":2025,"lang":"en","type":"book-chapter","venue":"The Materials Research Society series","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Qubit; Quantum error correction; Quantum; Quantum computer; Error detection and correction; Quantum information; Quantum network; Quantum capacity","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":[0.0003784237,0.0008286179,0.0006260683,0.001156709,0.001097784,0.001538094,0.0009200546,0.001075914,0.05395854],"category_scores_gemma":[0.001465965,0.0003971641,0.0003386889,0.001392958,0.001389898,0.001963899,0.001395513,0.001869853,0.01728247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045271,"about_ca_system_score_gemma":0.0007330572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00062109,"about_ca_topic_score_gemma":0.001027484,"domain_scores_codex":[0.9995454,0.00005349761,0.00001174893,0.00006601375,0.0002922396,0.00003099484],"domain_scores_gemma":[0.9995608,0.000126677,0.00002398527,0.0001393351,0.0001311295,0.00001821523],"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":[0.00003092464,0.00002543457,0.0000683168,0.0002325817,0.00001566035,0.00005873751,0.0001274643,0.00202456,0.003318742,0.6262519,0.1281566,0.2396891],"study_design_scores_gemma":[0.00000778554,0.00003271929,0.0001858813,0.0001650715,0.00001388406,0.0003113395,0.00003625946,0.007117581,0.008318916,0.2243481,0.7594315,0.00003101199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003480119,0.0149726,0.1352139,0.003296229,0.006606228,0.0001157743,0.0003887308,0.001543668,0.8343828],"genre_scores_gemma":[0.0391433,0.00680482,0.02306552,0.00100745,0.0009783281,0.00006592313,0.0003097342,0.0005816123,0.9280434],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05395854,"threshold_uncertainty_score":0.1805093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485748959722679,"score_gpt":0.318475906974964,"score_spread":0.2699010110026961,"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."}}