{"id":"W4386095606","doi":"10.4204/eptcs.384.1","title":"Graphical CSS Code Transformation Using ZX Calculus","year":2023,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Clarendon Fund; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Ministry of Colleges and Universities","keywords":"Transformation (genetics); Code (set theory); Computer science; Programming language; Calculus (dental); Mathematics; Algebra over a field; Arithmetic; Pure mathematics; Chemistry; Dentistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004402493,0.0002253729,0.0002346402,0.0007630782,0.0006136079,0.0007086396,0.00219259,0.0001031014,0.000003682153],"category_scores_gemma":[0.0001800438,0.0002055261,0.00008231009,0.005543127,0.001019525,0.001283694,0.0004676856,0.0009097647,0.00003162158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962704,"about_ca_system_score_gemma":0.0002630614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009519624,"about_ca_topic_score_gemma":0.000001885647,"domain_scores_codex":[0.9962695,0.00005464582,0.0003849599,0.0008526064,0.0008661912,0.001572048],"domain_scores_gemma":[0.9991917,0.0001186956,0.00008279578,0.0002645521,0.0001329788,0.000209249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005701917,0.00003061403,0.0001505637,0.00001319809,0.000002660971,0.000007060143,0.002424158,0.0004773338,0.0006882517,0.929576,0.000008372627,0.06661604],"study_design_scores_gemma":[0.0002837789,0.00021125,0.0007903844,0.00005913166,0.000003481811,0.00008398674,0.00004137553,0.9316376,0.0009233336,0.06468559,0.001000846,0.0002791813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2429006,0.00002767237,0.7541915,0.001331196,0.0002459507,0.0001749426,2.215481e-7,0.0007655545,0.0003623198],"genre_scores_gemma":[0.9652327,0.000009575705,0.03447522,0.0001642226,0.00008519757,0.00001407677,7.205859e-7,0.00001373625,0.000004589627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9311603,"threshold_uncertainty_score":0.8381111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129253635800418,"score_gpt":0.2745351148492931,"score_spread":0.2632425784912889,"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."}}