{"id":"W1969549277","doi":"10.1109/repa.2013.6602664","title":"A pattern for structuring the behavioural requirements of features of an embedded system","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Feature (linguistics); Structuring; Computer science; Automotive industry; Feature model; Behavioral pattern; Control flow; Mode (computer interface); Software; Artificial intelligence; Software engineering; Human–computer interaction; Engineering; 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":[0.004111241,0.001432664,0.0005837854,0.001643817,0.001004439,0.001715867,0.001303961,0.0023933,0.005550801],"category_scores_gemma":[0.01268032,0.0009123668,0.001311181,0.0008761804,0.00158098,0.002788194,0.001590233,0.002383604,0.002678324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662592,"about_ca_system_score_gemma":0.002201239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003061536,"about_ca_topic_score_gemma":0.004721884,"domain_scores_codex":[0.9962057,0.00121993,0.0006899313,0.0004911096,0.00112148,0.0002718675],"domain_scores_gemma":[0.9925613,0.003225169,0.0006345633,0.001734877,0.001587641,0.0002564974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008111737,0.0005934322,0.006078737,0.001606132,0.0001429705,0.003862716,0.006536676,0.01808835,0.1029646,0.3817689,0.04771568,0.4298308],"study_design_scores_gemma":[0.0003834715,0.001048682,0.004437529,0.001311866,0.0001826573,0.005564822,0.001552121,0.1375341,0.1041871,0.2555135,0.4879192,0.0003649854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008680439,0.00007021887,0.9774268,0.00068372,0.0000990925,0.0006393813,0.0009116541,0.005206518,0.006282244],"genre_scores_gemma":[0.05702277,0.0001442102,0.9323869,0.0004152369,0.00003334612,0.001024191,0.001303146,0.0009055374,0.006764621],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005550801,"threshold_uncertainty_score":0.02174258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06038554148328845,"score_gpt":0.3103888209989091,"score_spread":0.2500032795156207,"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."}}