{"id":"W3001814250","doi":"10.1016/j.jlamp.2020.100525","title":"Preface to the special issue on the 11th International Conference on Graph Transformation","year":2020,"lang":"en","type":"article","venue":"Journal of Logical and Algebraic Methods in Programming","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Graph rewriting; Computer science; Clique-width; Wait-for graph; Theoretical computer science; Graph; Voltage graph; Graph property; Null graph; Line graph","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001593972,0.0001054821,0.0001602953,0.00007080757,0.00005982198,0.0001596355,0.0007692061,0.0000450562,0.00002693652],"category_scores_gemma":[0.000155569,0.00005170144,0.000066099,0.0002721569,0.00003435544,0.0001562269,0.00008922313,0.0004429265,0.000002369633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001950223,"about_ca_system_score_gemma":0.00001483227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.569957e-7,"about_ca_topic_score_gemma":3.823172e-7,"domain_scores_codex":[0.9987953,0.0002758123,0.0003353892,0.0001449961,0.0003124705,0.0001359818],"domain_scores_gemma":[0.9993237,0.0002918635,0.0001186876,0.0001129963,0.00006373988,0.0000890297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002120569,0.00002286063,0.00001263367,0.000004039387,0.000007543013,0.000005896292,0.001753038,0.000330103,0.0001199757,0.2818174,0.0001679759,0.7157373],"study_design_scores_gemma":[0.0006137969,0.002732493,0.001254035,0.0003548521,0.00001611171,0.0001031499,0.0002516186,0.07872023,0.006891489,0.09294275,0.8157228,0.0003967001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002454498,0.00002331295,0.9552067,0.04145097,0.0002461495,0.0001993177,4.122327e-7,0.00003606732,0.0003825669],"genre_scores_gemma":[0.06895564,0.00005218184,0.9285273,0.001732523,0.0007081581,0.00001339463,1.715431e-7,0.000004021088,0.000006581753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8155548,"threshold_uncertainty_score":0.2108324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08747451457374354,"score_gpt":0.3570788104032485,"score_spread":0.2696042958295049,"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."}}