{"id":"W4308632657","doi":"10.1145/3550356.3559092","title":"Graphical projectional editing in gentleman","year":2022,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Focus (optics); Notation; Syntax; Programming language; Generator (circuit theory); Graphical user interface; Graphical model; Task (project management); Parsing; Software engineering; Natural language processing; Artificial intelligence; Linguistics; Systems engineering","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":[0.0002632994,0.00005315605,0.00005577663,0.0001864273,0.00007366439,0.00002242626,0.0004232494,0.00001502706,0.00006261969],"category_scores_gemma":[0.000002857342,0.00005655536,0.00002724002,0.0004555946,0.000007862082,0.000133783,0.0004394046,0.0002006405,0.000002305727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006697493,"about_ca_system_score_gemma":0.00002464448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004006306,"about_ca_topic_score_gemma":0.000006268683,"domain_scores_codex":[0.9992687,0.00003234424,0.0001119942,0.0002011705,0.0002442163,0.000141578],"domain_scores_gemma":[0.9997414,0.00001703579,0.00001682278,0.0001875675,0.00001271103,0.00002451003],"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":[7.138101e-7,0.00005067499,0.004773826,0.000003415066,0.00000239537,0.00002042496,0.0001858471,0.003039182,0.0001819384,0.979063,0.002221587,0.01045702],"study_design_scores_gemma":[0.0002484215,0.0001046376,0.01074197,0.000008095782,0.000001044296,0.0001259776,0.00001314369,0.8331342,0.0007197335,0.01840663,0.1361844,0.0003117507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006404582,0.000006718282,0.9915358,0.0005065384,0.0002124756,0.00009032494,7.78523e-7,0.0006917493,0.0005509925],"genre_scores_gemma":[0.510978,5.39916e-7,0.4886548,0.0001121097,0.00004358313,0.0001248842,0.000001607868,0.000004850616,0.00007964095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9606563,"threshold_uncertainty_score":0.230626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109806444584045,"score_gpt":0.2279818816243877,"score_spread":0.2168838171785472,"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."}}