{"id":"W2039854894","doi":"10.1145/2568225.2568270","title":"Effects of using examples on structural model comprehension: a controlled experiment","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Comprehension; Domain (mathematical analysis); Unified Modeling Language; Class diagram; Domain model; Program comprehension; Empirical research; Completeness (order theory); Class (philosophy); Artificial intelligence; Software; Software engineering; Domain knowledge; Programming language; Software system","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":[0.0121098,0.001945698,0.001347002,0.0005830625,0.001103034,0.002084715,0.002374417,0.002835402,0.008500988],"category_scores_gemma":[0.06469156,0.001289621,0.0008172165,0.0004813647,0.001699828,0.002487217,0.002180898,0.002456717,0.0008249132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007011349,"about_ca_system_score_gemma":0.001344322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000523742,"about_ca_topic_score_gemma":0.0006132278,"domain_scores_codex":[0.9899797,0.005614136,0.001042335,0.00173898,0.0009750046,0.0006498122],"domain_scores_gemma":[0.8172142,0.1593956,0.00806898,0.007412984,0.005146379,0.002761882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.107794,0.3105063,0.02115397,0.007860293,0.0006698149,0.001738902,0.05670978,0.01144406,0.3388614,0.002948459,0.004403016,0.13591],"study_design_scores_gemma":[0.07204023,0.5839841,0.08684579,0.001044432,0.001795499,0.0008514248,0.009853167,0.02735953,0.1867729,0.006772008,0.02170715,0.0009737597],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987949,0.0001013298,0.005625758,0.0001417132,0.0000608833,0.004475964,0.0002505782,0.0001546092,0.001240005],"genre_scores_gemma":[0.9302612,0.0001771677,0.04435949,0.0004891271,0.000111366,0.02164488,0.0004673392,0.0001185382,0.002370985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121098,"threshold_uncertainty_score":0.06404352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814075456058587,"score_gpt":0.2881083396112961,"score_spread":0.2599675850507103,"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."}}