{"id":"W2593015694","doi":"","title":"Downsizing EPMcreate to Lighter Creativity Techniques for Requirements Elicitation.","year":2017,"lang":"en","type":"article","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Requirements elicitation; Creativity; Photo elicitation; Computer science; Engineering; Requirements analysis; Knowledge management; Psychology; Software; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103027,0.00110517,0.0004527319,0.002580278,0.000883051,0.001865392,0.00204218,0.001093425,0.003548221],"category_scores_gemma":[0.05352311,0.0005645321,0.001333787,0.001836736,0.001700239,0.002999221,0.004807423,0.002828796,0.001381992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000852349,"about_ca_system_score_gemma":0.001892989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006722102,"about_ca_topic_score_gemma":0.001869941,"domain_scores_codex":[0.9858757,0.00605658,0.000957969,0.0008761946,0.00593595,0.0002976362],"domain_scores_gemma":[0.9308969,0.04257295,0.004000607,0.01382746,0.007968379,0.000733658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003133214,0.0005770221,0.002092535,0.001811756,0.0001286559,0.0004976206,0.005833356,0.006703658,0.06406505,0.0395399,0.006548137,0.871889],"study_design_scores_gemma":[0.0006695086,0.003020663,0.01949724,0.00250402,0.0004583462,0.009564767,0.006477207,0.1890894,0.2077441,0.1900183,0.3704706,0.0004860605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02473971,0.0002354441,0.9651308,0.0005407385,0.00008195388,0.001263903,0.00009628874,0.001131516,0.006779574],"genre_scores_gemma":[0.0418765,0.000123517,0.9545705,0.0002006164,0.00002133354,0.0008330676,0.0001705387,0.0002203091,0.001983647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01103027,"threshold_uncertainty_score":0.05833435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1502589925444613,"score_gpt":0.4006139633248246,"score_spread":0.2503549707803633,"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."}}