{"id":"W2243397763","doi":"","title":"Caractérisation pratique des systèmes quantiques et mémoires quantiques auto-correctrices 2D","year":2013,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science","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":[0.001731986,0.0007132361,0.0008502905,0.0006465002,0.001239068,0.003368408,0.001631645,0.001415354,0.02576769],"category_scores_gemma":[0.006053266,0.0006790907,0.0008234567,0.0005142625,0.001809785,0.00385632,0.002144493,0.00187347,0.002847295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859153,"about_ca_system_score_gemma":0.001466822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006297056,"about_ca_topic_score_gemma":0.003963917,"domain_scores_codex":[0.9985747,0.000244649,0.00008076229,0.0003142072,0.0006702389,0.0001155313],"domain_scores_gemma":[0.99788,0.0008999591,0.0001298488,0.0004699285,0.0005624367,0.00005784865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002929417,0.00006739057,0.001675938,0.0008240106,0.000086309,0.0003267457,0.001177763,0.1292387,0.04086227,0.6919956,0.008993618,0.1244587],"study_design_scores_gemma":[0.00009739863,0.0001229962,0.0009665786,0.0001630719,0.00006000178,0.0004859278,0.0004618689,0.6269224,0.03687555,0.2433946,0.09034367,0.0001058776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02990903,0.001374814,0.9209118,0.002186976,0.0007101275,0.000112933,0.000397542,0.002201201,0.04219554],"genre_scores_gemma":[0.5809081,0.001769472,0.338609,0.001091242,0.0002391666,0.0003316806,0.0006710437,0.0009947419,0.07538562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02576769,"threshold_uncertainty_score":0.08620149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189887206409886,"score_gpt":0.2355214113882236,"score_spread":0.2136225393241248,"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."}}