{"id":"W2144491568","doi":"10.1109/ase.2003.1240336","title":"Detecting requirements interactions: a three-level framework","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Domain (mathematical analysis); Lift (data mining); Formal specification; Requirements analysis; Functional requirement; Software engineering; Distributed computing; Programming language; Data mining; Software; Mathematics","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":[0.02197749,0.003029424,0.002310731,0.008186714,0.002997823,0.01324897,0.005399277,0.005648774,0.002913221],"category_scores_gemma":[0.0361977,0.00309975,0.006644615,0.003003122,0.008382867,0.009223862,0.008103597,0.005624243,0.001269935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003919629,"about_ca_system_score_gemma":0.007646901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191095,"about_ca_topic_score_gemma":0.007909106,"domain_scores_codex":[0.9668639,0.0113888,0.00427167,0.003622117,0.01214088,0.001712602],"domain_scores_gemma":[0.9571685,0.02585383,0.004484344,0.005113331,0.006060684,0.001319273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003561273,0.0009562512,0.01573517,0.003336096,0.001061407,0.003387725,0.01131768,0.1275732,0.04897892,0.408518,0.00599957,0.3727799],"study_design_scores_gemma":[0.000161551,0.0006036179,0.004489688,0.001833811,0.000727041,0.002364918,0.002380622,0.657972,0.02594408,0.2500531,0.05296631,0.0005032525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002438938,0.0001751991,0.994814,0.0004097706,0.00001207518,0.0002948295,0.00005347735,0.0009891444,0.0008124399],"genre_scores_gemma":[0.03874642,0.0001718381,0.9596907,0.0001588852,0.00001996423,0.0002535358,0.0002713337,0.0001223149,0.0005649609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02197749,"threshold_uncertainty_score":0.1162294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0848601438171301,"score_gpt":0.3400426612558367,"score_spread":0.2551825174387066,"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."}}