{"id":"W2766144263","doi":"10.1088/1367-2630/aa939a","title":"Comparison of memory thresholds for planar qudit geometries","year":2017,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Physics; Planar; Statistical physics; Theoretical physics; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007834533,0.0003939801,0.0005102117,0.0009551657,0.0005260407,0.001059293,0.0009294412,0.0007833496,0.002125234],"category_scores_gemma":[0.008460955,0.0001810638,0.0002187208,0.0007152734,0.001215617,0.0013861,0.001145289,0.0005294537,0.0004394433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131001,"about_ca_system_score_gemma":0.0008004573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235247,"about_ca_topic_score_gemma":0.001049675,"domain_scores_codex":[0.999431,0.0001032461,0.00003348731,0.00008471751,0.0002221321,0.0001254801],"domain_scores_gemma":[0.9967403,0.001723374,0.0003086398,0.000497132,0.0005926961,0.0001378126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00124382,0.0001331424,0.005986228,0.0005235724,0.00008687533,0.0004253548,0.0006281829,0.5658507,0.09923604,0.2629216,0.00284587,0.06011856],"study_design_scores_gemma":[0.00002804789,0.0002711031,0.001111488,0.00004672599,0.00002655844,0.0002094845,0.0001942623,0.7872064,0.1772541,0.03179216,0.001779397,0.00008033283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561959,0.0009271497,0.121534,0.0004036668,0.00007403759,0.00005235521,0.0003960336,0.001235283,0.0191818],"genre_scores_gemma":[0.9848961,0.0001471744,0.01376425,0.0000314946,0.000005262542,0.00002269235,0.0001889894,0.00008385121,0.0008602109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002125234,"threshold_uncertainty_score":0.00820601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04393923366746822,"score_gpt":0.3263191156250112,"score_spread":0.282379881957543,"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."}}