{"id":"W3005053504","doi":"10.1145/1124706.1121475","title":"Teaching requirements engineering to an unsuspecting audience","year":2006,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Scope (computer science); Class (philosophy); Computer science; Requirements engineering; Mathematics education; Software; Software engineering; Psychology; Programming language; Artificial intelligence","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":[0.004906213,0.00142188,0.0006738706,0.0008758786,0.001901425,0.004441186,0.001201184,0.002907224,0.01427742],"category_scores_gemma":[0.02178942,0.000640018,0.0009126738,0.0003926752,0.001880039,0.004541233,0.004110013,0.004885016,0.005452237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009331577,"about_ca_system_score_gemma":0.001063076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002216513,"about_ca_topic_score_gemma":0.0005550407,"domain_scores_codex":[0.9968592,0.001569465,0.0001048064,0.0002868569,0.0007680298,0.0004116703],"domain_scores_gemma":[0.9873834,0.008159935,0.0008420987,0.0007610884,0.001272343,0.001581132],"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":[0.0006613063,0.004085106,0.02349098,0.001778532,0.0001024996,0.01719885,0.2076033,0.008056022,0.147411,0.0467863,0.03955732,0.5032689],"study_design_scores_gemma":[0.0002856944,0.007971678,0.01840672,0.001896231,0.0001545192,0.03675624,0.168255,0.03523957,0.05357227,0.09041733,0.5866507,0.0003939632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841295,0.002972832,0.2175979,0.02725951,0.001216452,0.000638661,0.00007428761,0.001740047,0.06437077],"genre_scores_gemma":[0.8919976,0.003603422,0.05609707,0.005188477,0.0008928915,0.0001562001,0.0001232448,0.0003531534,0.04158787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427742,"threshold_uncertainty_score":0.04776275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736478969385177,"score_gpt":0.2716638577694441,"score_spread":0.2542990680755923,"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."}}