{"id":"W4200584043","doi":"10.1109/models-c53483.2021.00013","title":"Towards Conflict-Free Collaborative Modelling using VS Code Extensions","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":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Google","keywords":"Computer science; Eclipse; Software engineering; Workspace; Model-driven architecture; Software; Software development; Programming language; Code (set theory); World Wide Web; Artificial intelligence","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":[0.0003030475,0.0005282194,0.0006473754,0.0003613367,0.0001739813,0.0006278506,0.001699501,0.0002327001,0.00001469765],"category_scores_gemma":[0.00004290314,0.0005563236,0.0001393895,0.0003726273,0.00005087416,0.0009098236,0.0008290627,0.0005021383,0.000005312718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510298,"about_ca_system_score_gemma":0.0003059395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001546595,"about_ca_topic_score_gemma":0.00001039966,"domain_scores_codex":[0.9969193,0.0001027066,0.0006369033,0.000977957,0.0008676685,0.0004954752],"domain_scores_gemma":[0.9967886,0.000109003,0.0001959007,0.001443695,0.00119742,0.0002653317],"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":[0.000006482002,0.0000372812,0.000003542783,0.00003002056,0.00006311559,0.00005695031,0.0007157194,0.5945221,0.003721324,0.4003723,0.0001258984,0.0003451912],"study_design_scores_gemma":[0.0004604417,0.00005177477,0.000006873877,0.0005856648,0.00002174768,0.0001052406,0.0001333269,0.9939781,0.0007687064,0.002514927,0.0007937512,0.0005793821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01889308,0.0005025939,0.9770242,0.000454056,0.0009731102,0.0003202391,0.0002242394,0.0005496079,0.001058853],"genre_scores_gemma":[0.6295621,0.0004129011,0.3694613,0.00005763684,0.0001457247,0.00005689018,0.00004333942,0.00005031603,0.0002097798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.610669,"threshold_uncertainty_score":0.9996888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042339394799862,"score_gpt":0.3190646762660262,"score_spread":0.21483073678604,"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."}}