{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009684721,0.001339543,0.0008964501,0.001689442,0.001252156,0.005823663,0.004309807,0.002961975,0.003740302],"category_scores_gemma":[0.02236168,0.001317313,0.003217466,0.00111817,0.003335951,0.007671242,0.009542498,0.00454609,0.001842152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532167,"about_ca_system_score_gemma":0.003620834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358997,"about_ca_topic_score_gemma":0.003944483,"domain_scores_codex":[0.9916607,0.003394715,0.0007674612,0.0009471342,0.002611035,0.0006190196],"domain_scores_gemma":[0.9840876,0.006806633,0.001195509,0.005214247,0.001948488,0.0007475124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003592196,0.0002450495,0.002702944,0.0004979073,0.0001121214,0.001729963,0.007908268,0.1309507,0.01604241,0.7160351,0.00853477,0.1148816],"study_design_scores_gemma":[0.0001539157,0.0001120745,0.0003162076,0.0003990213,0.00008401034,0.0007803686,0.0007208879,0.5651172,0.02089233,0.2139931,0.1972783,0.0001525678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004907993,0.00005674967,0.9890093,0.0002377354,0.00004778852,0.00006591275,0.00006333703,0.002804026,0.002807203],"genre_scores_gemma":[0.0768874,0.0001943086,0.915301,0.0002022649,0.00004292605,0.000342003,0.0005112746,0.001988433,0.004530363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009684721,"threshold_uncertainty_score":0.05121833,"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."}}