{"id":"W2508268566","doi":"10.18293/seke2016-106","title":"A Characterization of Negative User Stories","year":2016,"lang":"en","type":"article","venue":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","topic":"Information and Cyber Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"User story; Computer science; Agile software development; Context (archaeology); Process (computing); Human–computer interaction; World Wide Web; Software engineering; Software development; Programming language; Software","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":[0.004302116,0.000855279,0.0003254492,0.002394894,0.002171876,0.004322867,0.001237585,0.001558315,0.002345081],"category_scores_gemma":[0.03368003,0.0003826673,0.0003670059,0.001115107,0.004849667,0.004973847,0.004185699,0.001592737,0.000524945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009638687,"about_ca_system_score_gemma":0.0007046269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160815,"about_ca_topic_score_gemma":0.001131336,"domain_scores_codex":[0.9915126,0.004908534,0.0004218091,0.0004793936,0.002165327,0.0005122308],"domain_scores_gemma":[0.9507657,0.03370073,0.005340198,0.002999413,0.005558103,0.001635787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006399793,0.0001815727,0.05674161,0.0009965956,0.00006658566,0.009817455,0.4900542,0.00239423,0.02824146,0.2719266,0.008828784,0.130111],"study_design_scores_gemma":[0.00005804485,0.0008223127,0.06155837,0.001517151,0.0001840259,0.05958444,0.2798519,0.05484875,0.02867171,0.1980955,0.3143253,0.0004825762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.654387,0.001118225,0.2263669,0.003354526,0.0001829531,0.0003877763,0.0003800549,0.0007571958,0.1130654],"genre_scores_gemma":[0.981701,0.0002276243,0.01271715,0.0003018702,0.00004139041,0.0001780304,0.0002135481,0.0001310018,0.00448851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004322867,"threshold_uncertainty_score":0.02275205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295285314409311,"score_gpt":0.2156829330287145,"score_spread":0.2027300798846214,"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."}}