{"id":"W2569512077","doi":"10.1007/s10664-016-9475-z","title":"Group versus individual use of power-only EPMcreate as a creativity enhancement technique for requirements elicitation","year":2017,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Creativity; Brainstorming; Group (periodic table); Requirements elicitation; Raw data; Affect (linguistics); Computer science; Psychology; Social psychology; Requirements analysis; Artificial intelligence; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006063773,0.00026838,0.0003049723,0.0001523155,0.000220022,0.0003422032,0.001001747,0.0001544604,0.00001211381],"category_scores_gemma":[0.004718076,0.0002744962,0.0001367861,0.000160182,0.00003681847,0.001659921,0.0004189104,0.0002021011,0.000004807165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043675,"about_ca_system_score_gemma":0.0000570349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007870433,"about_ca_topic_score_gemma":0.000002355079,"domain_scores_codex":[0.9983535,0.00003123254,0.0003703802,0.0004448626,0.0004141547,0.0003858307],"domain_scores_gemma":[0.9971017,0.00139669,0.0003022244,0.0009375024,0.0001311536,0.000130717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00312957,0.004258337,0.322338,0.003211465,0.003875631,0.0003270216,0.009193731,0.01212302,0.1351165,0.1144014,0.01902323,0.3730022],"study_design_scores_gemma":[0.007417012,0.01029336,0.29575,0.001750779,0.0004021096,0.00009742719,0.0000304079,0.02561828,0.4243389,0.006484055,0.2233143,0.004503289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07860037,0.00004747221,0.9194856,0.0001469219,0.0004844919,0.0005988914,0.0000177297,0.0005891448,0.00002943663],"genre_scores_gemma":[0.4840765,0.0000146038,0.5155599,0.00003248705,0.0000420607,0.0002130206,0.00001095855,0.00002521413,0.00002525544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4054761,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053520785737298,"score_gpt":0.3668034348591423,"score_spread":0.2614513562854125,"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."}}