{"id":"W4200394338","doi":"10.1109/models-c53483.2021.00001","title":"Preface to the 1st International Hands-on Workshop on Collaborative Modeling (HoWCoM 2021)","year":2021,"lang":"en","type":"article","venue":"2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Leverage (statistics); Computer science; Collaborative engineering; Model-driven architecture; Focus (optics); Data science; Software engineering; Work in process; Engineering; Unified Modeling Language; Artificial intelligence; Software","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003544231,0.0005084523,0.0004524247,0.000365839,0.0001735782,0.0009015172,0.001969363,0.0001758643,0.00002577738],"category_scores_gemma":[0.00007430879,0.0004420598,0.0001262505,0.0003797697,0.00002568984,0.0005477809,0.0005848624,0.0006129002,0.00003405418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916873,"about_ca_system_score_gemma":0.0001421059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004464494,"about_ca_topic_score_gemma":0.00001899738,"domain_scores_codex":[0.9968606,0.0001081729,0.0005369221,0.0009979024,0.001070593,0.0004258214],"domain_scores_gemma":[0.9974824,0.0002032616,0.0001387487,0.001157138,0.0007986208,0.0002197995],"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":[0.00001907345,0.00005734035,0.000002779262,0.00001147813,0.00007832736,0.00002537727,0.001027182,0.651684,0.0006153802,0.3430981,0.0005594643,0.002821506],"study_design_scores_gemma":[0.0004022107,0.0001088013,0.000007870963,0.0008372738,0.000009424865,0.00002221912,0.0002104995,0.9949214,0.0004050816,0.0007860478,0.001825364,0.0004637959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01774767,0.0001422276,0.9742634,0.002948273,0.001677133,0.0004435841,0.0001123149,0.0003019827,0.002363475],"genre_scores_gemma":[0.9506707,0.0003526547,0.0470397,0.0002408429,0.0004197602,0.0002178129,0.00006962268,0.00005464283,0.0009342476],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9329231,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06557334097086205,"score_gpt":0.3086924604366828,"score_spread":0.2431191194658208,"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."}}