{"id":"W2132764782","doi":"10.1007/s00766-005-0014-5","title":"Is emotion relevant to requirements engineering?","year":2005,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Requirements engineering; Computer science; Requirements analysis; Work (physics); Software engineering; Requirement; Software; Knowledge management; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00357169,0.0003198701,0.0005287941,0.0007147163,0.0008684162,0.003495821,0.000580113,0.001779949,0.004572816],"category_scores_gemma":[0.03381835,0.0002930505,0.0005148211,0.0007072169,0.003398524,0.004778525,0.001215884,0.002153492,0.0008585975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135421,"about_ca_system_score_gemma":0.0007906928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245315,"about_ca_topic_score_gemma":0.0006690864,"domain_scores_codex":[0.9945357,0.003555319,0.0002583593,0.0003411331,0.0008999479,0.0004095307],"domain_scores_gemma":[0.9669186,0.0256562,0.002437389,0.001314468,0.002780604,0.0008927787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006018427,0.0004085393,0.02003401,0.001925466,0.00020254,0.001324654,0.02898029,0.003097037,0.006735871,0.6776509,0.01321784,0.2458211],"study_design_scores_gemma":[0.000121843,0.0002453582,0.04588695,0.0009488341,0.0002008634,0.001090374,0.02153479,0.01059844,0.002264157,0.8587967,0.05817128,0.0001403746],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3171137,0.01403944,0.1805005,0.09086033,0.001707052,0.0002140681,0.0003243721,0.0002553089,0.3949853],"genre_scores_gemma":[0.9828896,0.002606009,0.008114409,0.003138826,0.0004296959,0.00008596935,0.00008581519,0.00007735888,0.00257236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004572816,"threshold_uncertainty_score":0.01888913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898034691197175,"score_gpt":0.2861252599095909,"score_spread":0.2571449129976191,"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."}}