{"id":"W2018360547","doi":"10.1145/1137639.1137646","title":"Discovering aspects in requirements with repertory grid","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Repertory grid; Computer science; Viewpoints; Identification (biology); Grid; Requirements analysis; Requirements engineering; Decomposition; Software engineering; Programming language; Software; Psychology","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":[0.002222624,0.0006188484,0.0007906265,0.002570695,0.0008874286,0.002012572,0.001041978,0.00067238,0.00229799],"category_scores_gemma":[0.01259832,0.0007323009,0.001289839,0.002446172,0.001401271,0.004300927,0.003156031,0.001068263,0.0005894551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223672,"about_ca_system_score_gemma":0.001301478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007787,"about_ca_topic_score_gemma":0.005039653,"domain_scores_codex":[0.9971258,0.001364956,0.0002113784,0.0004406409,0.0007271147,0.0001301961],"domain_scores_gemma":[0.994584,0.002593285,0.0003727078,0.001695189,0.0006047178,0.0001500787],"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":[0.0004784701,0.0003200792,0.02124365,0.001000762,0.0001895571,0.001818415,0.02041772,0.06216396,0.02616494,0.3014398,0.005006252,0.5597563],"study_design_scores_gemma":[0.00008320908,0.0002174937,0.004409351,0.0002315602,0.0001023002,0.001599574,0.004397248,0.5740084,0.01188456,0.371026,0.03195794,0.00008231924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04945723,0.0001117919,0.9457881,0.0002485686,0.0000139093,0.00016732,0.0001139946,0.0006969458,0.003402104],"genre_scores_gemma":[0.2164676,0.0001054073,0.7818677,0.00004917164,0.000005248487,0.0001575121,0.0002865544,0.00007610262,0.0009847452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003007787,"threshold_uncertainty_score":0.01175451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041653726920719,"score_gpt":0.2521347116522267,"score_spread":0.2317181743830195,"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."}}