{"id":"W2884779132","doi":"10.1109/empire.2018.00007","title":"Loud and Interactive Paper Prototyping in Requirements Elicitation: What is it Good for?","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Requirements elicitation; Requirements analysis; Computer science; Functional requirement; Requirements engineering; Rapid prototyping; Software engineering; Process (computing); Requirement; Software requirements specification; Multidisciplinary approach; Non-functional requirement; Software; Human–computer interaction; Systems engineering; Software development; Software design; Engineering; Operating system; Software construction","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":[0.1451057,0.002261883,0.001454823,0.00396846,0.003312095,0.01302648,0.004988938,0.0056323,0.005900599],"category_scores_gemma":[0.3039819,0.001565468,0.00159762,0.003650388,0.008839012,0.01651654,0.008679567,0.00529161,0.001966348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324197,"about_ca_system_score_gemma":0.003298698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639619,"about_ca_topic_score_gemma":0.002141743,"domain_scores_codex":[0.7139428,0.2463289,0.005856016,0.005848744,0.02549019,0.002533377],"domain_scores_gemma":[0.4759048,0.4648132,0.01413527,0.02379258,0.01788557,0.003468606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001782489,0.001142298,0.01391131,0.008735213,0.0003825342,0.001053051,0.07812212,0.003340672,0.0098653,0.03672996,0.01245964,0.8324754],"study_design_scores_gemma":[0.003458579,0.0156253,0.05466881,0.03996236,0.001545649,0.01176518,0.1472826,0.05266149,0.03983529,0.246305,0.3846744,0.002215353],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1555764,0.02413881,0.7017319,0.04350045,0.003407281,0.00381454,0.000280051,0.002020821,0.0655298],"genre_scores_gemma":[0.4965252,0.006177399,0.4794951,0.006885826,0.001258785,0.004465406,0.0002407784,0.0006069318,0.004344437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1451057,"threshold_uncertainty_score":0.7674015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071927123635043,"score_gpt":0.345195596855524,"score_spread":0.3044763256191735,"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."}}