{"id":"W4403935850","doi":"10.1145/3652620.3688345","title":"Towards Model Product Lines: Composition of EMF Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Composition (language); Computer science; Product (mathematics); EMF measurement; Mathematics; Chemistry","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":[0.0002653987,0.00009658658,0.0001347761,0.0001026462,0.00001725308,0.00004090425,0.0003950468,0.00002965483,0.0000015136],"category_scores_gemma":[0.00005853012,0.00007902022,0.00004895751,0.0003012277,0.0000249936,0.0006790573,0.000160066,0.00009083383,0.000005107398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662194,"about_ca_system_score_gemma":0.00006290132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000481765,"about_ca_topic_score_gemma":1.94039e-7,"domain_scores_codex":[0.9992214,0.00002631293,0.0001679424,0.0002873093,0.0001627522,0.0001343026],"domain_scores_gemma":[0.9993744,0.0001271979,0.00001798535,0.0003823663,0.0000704093,0.00002761555],"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":[9.794992e-7,0.000007849138,2.588785e-7,0.00005776638,0.000006324456,0.000002174852,0.0002898585,0.7978557,0.004582152,0.1678481,0.0001214005,0.02922752],"study_design_scores_gemma":[0.00002192669,0.00001460588,0.000003182984,0.00002873656,0.000002296068,0.000005609321,0.000003199943,0.778164,0.03030078,0.1913494,0.00003205261,0.00007427711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009553173,0.0006776448,0.9954454,0.0003955633,0.0003642158,0.00008682892,0.000002269688,0.001239823,0.00083299],"genre_scores_gemma":[0.2780802,0.0000231246,0.7216443,0.00002364998,0.00002747448,0.00000724357,0.000001017053,0.000007083125,0.000185837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2771249,"threshold_uncertainty_score":0.3222351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08146538440763977,"score_gpt":0.3245051089759652,"score_spread":0.2430397245683255,"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."}}