{"id":"W1974789398","doi":"10.1109/compsac.2013.68","title":"The ReqWiki Approach for Collaborative Software Requirements Engineering with Integrated Text Analysis Support","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Requirements engineering; Software engineering; Software requirements; Software requirements specification; Requirements analysis; Requirement; Requirements elicitation; User requirements document; Software development; Software; World Wide Web; Software construction; Programming language","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":[0.01202163,0.001874992,0.001166587,0.005770789,0.001533879,0.00437915,0.005388688,0.002064422,0.007618891],"category_scores_gemma":[0.03184149,0.001768253,0.002645945,0.002732998,0.001655361,0.008719942,0.008704198,0.003922047,0.00626401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009780993,"about_ca_system_score_gemma":0.003781832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128959,"about_ca_topic_score_gemma":0.004490019,"domain_scores_codex":[0.9862233,0.00536905,0.001886781,0.002139367,0.00398791,0.0003936346],"domain_scores_gemma":[0.9692118,0.01319925,0.002667636,0.01007507,0.003847067,0.0009991736],"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":[0.0009404144,0.00159576,0.001908423,0.003886931,0.0006018359,0.0022875,0.009224403,0.01660389,0.1078389,0.1170636,0.05060768,0.6874406],"study_design_scores_gemma":[0.0005049347,0.0004353368,0.001831298,0.0004904227,0.0002638038,0.002892166,0.00141759,0.1864571,0.08079834,0.1329979,0.5912969,0.0006143452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002708969,0.00007641949,0.9672601,0.0003838206,0.00005479271,0.0006380617,0.0005753815,0.02507784,0.003224547],"genre_scores_gemma":[0.01769413,0.0001136372,0.9718056,0.0002205764,0.00004062536,0.0008624363,0.002005917,0.00249094,0.004766268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01202163,"threshold_uncertainty_score":0.06357723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823186397295332,"score_gpt":0.2496935840366899,"score_spread":0.2314617200637366,"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."}}