{"id":"W7078320660","doi":"10.5281/zenodo.16983512","title":"Superconducting Cross-Platform Quantum Noise Model: Multi-Round and Single-Round Repetition Code Dataset","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantum computer; Qubit; Quantum; Noise (video); Quantum error correction; Error detection and correction; IBM; Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001126379,0.001677338,0.0009747085,0.001192837,0.0008131946,0.001224834,0.003095713,0.002404498,0.02075903],"category_scores_gemma":[0.005751705,0.0004734992,0.001273507,0.002667067,0.0004736687,0.000968619,0.001210064,0.001585062,0.02412659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479591,"about_ca_system_score_gemma":0.002408625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211941,"about_ca_topic_score_gemma":0.03864749,"domain_scores_codex":[0.9988856,0.0002070246,0.0000853781,0.0002961924,0.0003830931,0.0001427735],"domain_scores_gemma":[0.9974334,0.0008173848,0.000145647,0.0006840496,0.0008059197,0.0001136604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002894721,0.0001460492,0.003183486,0.001188044,0.0001130831,0.00008389581,0.00003347497,0.01190171,0.0009540659,0.001827966,0.9712318,0.009046985],"study_design_scores_gemma":[0.0009972543,0.0002134187,0.01623453,0.0004170572,0.0001380432,0.0002416257,0.0001653794,0.03186187,0.006043819,0.01027981,0.9332629,0.0001441992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002740043,0.0001945477,0.000910198,0.0002162226,0.00006510358,0.0000520288,0.991924,0.002001714,0.001896268],"genre_scores_gemma":[0.004374412,0.00007482865,0.00142654,0.000123296,0.000008104865,0.0001548569,0.9926887,0.0001815002,0.0009676915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0211941,"threshold_uncertainty_score":0.06944585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08790796259635333,"score_gpt":0.2947492177959172,"score_spread":0.2068412551995639,"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."}}