{"id":"W4400115658","doi":"10.1007/s10270-024-01188-8","title":"Human factors in model-driven engineering: future research goals and initiatives for MDE","year":2024,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Model-driven architecture; Software engineering; Process management; Metamodeling; Knowledge management; Engineering management; Systems engineering; Unified Modeling Language; Programming language; Software; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001228995,0.0003739799,0.0004603554,0.0009107206,0.0001933017,0.0005722414,0.0008059041,0.0002834116,5.360556e-7],"category_scores_gemma":[0.00005461544,0.0003586472,0.0001096604,0.0006558636,0.00003349423,0.001098211,0.0003644022,0.0006721852,0.000002018498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847948,"about_ca_system_score_gemma":0.0001341051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027125,"about_ca_topic_score_gemma":0.000009136123,"domain_scores_codex":[0.9971223,0.00009683807,0.0005839494,0.0009349245,0.0005284675,0.0007334466],"domain_scores_gemma":[0.9986315,0.0002803309,0.00004494996,0.0006359363,0.0002348151,0.0001725031],"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":[0.0000017563,0.00001606546,0.0003761123,0.0007168424,0.00002665157,0.00001461371,0.003268865,0.8185096,0.000516904,0.17528,0.0001066665,0.00116593],"study_design_scores_gemma":[0.0001428326,0.00006454438,0.00003331315,0.0009213405,0.000005776143,0.0000084181,0.0000712176,0.9946147,0.00008930021,0.002256771,0.001410018,0.0003817735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05706484,0.002769412,0.9363711,0.00006986186,0.0004764598,0.0008988354,0.00003598534,0.002301495,0.00001200635],"genre_scores_gemma":[0.7347066,0.00005613232,0.2645393,0.000006094494,0.0002015721,0.0003654758,0.00001271149,0.00007314015,0.00003894259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6776418,"threshold_uncertainty_score":0.9998866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06610314366050352,"score_gpt":0.3383185537168748,"score_spread":0.2722154100563713,"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."}}