{"id":"W6948523652","doi":"10.48660/05050024","title":"A unified and generalized approach to quantum error correction","year":2005,"lang":"en","type":"other","venue":"PIRSA","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Quantum; Quantum error correction; Error detection and correction; Quantum algorithm; Quantum system; Stability (learning theory); Set (abstract data type)","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":[0.00187997,0.001216515,0.001918886,0.001620256,0.001549798,0.002456869,0.003731616,0.001592915,0.009358851],"category_scores_gemma":[0.004777886,0.0004499652,0.001510022,0.001760441,0.002330259,0.003823541,0.004118086,0.002708932,0.004006777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009692587,"about_ca_system_score_gemma":0.001513396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931002,"about_ca_topic_score_gemma":0.002494575,"domain_scores_codex":[0.9984179,0.0004155056,0.0001002314,0.0003006886,0.0006515053,0.0001142332],"domain_scores_gemma":[0.9982482,0.0003955463,0.00007166499,0.0007255669,0.0004810106,0.00007809705],"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":[0.00002322668,0.00002886954,0.0001299757,0.00008698531,0.00003295839,0.00007130359,0.00009353197,0.01495594,0.002004358,0.9048951,0.004747808,0.07293002],"study_design_scores_gemma":[0.000009573812,0.00001552598,0.00007326339,0.00002384915,0.00001715877,0.00009252002,0.00002108686,0.1577634,0.001477142,0.8244094,0.01606146,0.00003568826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007304485,0.0001468629,0.99177,0.0001772826,0.0001543231,0.00002636976,0.00004345276,0.0004615885,0.006489545],"genre_scores_gemma":[0.07573631,0.0007525315,0.8966537,0.0004913492,0.0005930631,0.0002170616,0.0002036449,0.0008286487,0.02452385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009358851,"threshold_uncertainty_score":0.03130847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719858571408303,"score_gpt":0.2462021589522786,"score_spread":0.2290035732381955,"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."}}