{"id":"W4386254860","doi":"10.22331/q-2023-08-29-1093","title":"Local Probabilistic Decoding of a Quantum Code","year":2023,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Moonshot Research and Development Program; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Okinawa Institute of Science and Technology Graduate University; Government of Canada; Ministry of Colleges and Universities","keywords":"Algorithm; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674406,0.0005559768,0.0007753082,0.0007070424,0.0007658832,0.001692379,0.001085859,0.001904038,0.006785856],"category_scores_gemma":[0.007660109,0.0003874541,0.0006754452,0.0007258865,0.00186773,0.001761743,0.002546305,0.001995104,0.002737033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617671,"about_ca_system_score_gemma":0.002379182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070334,"about_ca_topic_score_gemma":0.001934026,"domain_scores_codex":[0.9975674,0.0006838909,0.0001005175,0.0004312635,0.0008965844,0.0003204663],"domain_scores_gemma":[0.9964285,0.00165539,0.0002954612,0.0007908114,0.0006057639,0.0002240985],"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":[0.0007341831,0.00009311295,0.001181815,0.0002009026,0.00005965392,0.0006266385,0.000496443,0.1872483,0.02775195,0.7242495,0.005916949,0.05144062],"study_design_scores_gemma":[0.00007069761,0.0001185815,0.0004113886,0.00004261345,0.00002770193,0.000179333,0.00004408047,0.7465562,0.01639015,0.2330347,0.003047185,0.00007733589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1539244,0.0002593424,0.7952466,0.002889389,0.0001777528,0.0001037012,0.0005949275,0.001829824,0.04497407],"genre_scores_gemma":[0.8701385,0.0002065614,0.09675472,0.0006876527,0.0001546125,0.0001321016,0.0004163115,0.0003659753,0.03114356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006785856,"threshold_uncertainty_score":0.02270103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184261396688289,"score_gpt":0.2639806393989564,"score_spread":0.2421380254320735,"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."}}