{"id":"W2103169481","doi":"10.1007/s00766-012-0147-2","title":"Introduction to the REFSQ 2011 special issue","year":2012,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Presentation (obstetrics); Session (web analytics); Library science; Computer science; Quality (philosophy); Engineering ethics; Engineering; World Wide Web; Medicine","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":[0.006912815,0.001444787,0.001936973,0.008636262,0.00246028,0.008385658,0.002350514,0.003619812,0.1972102],"category_scores_gemma":[0.02401986,0.0007658088,0.001728759,0.006292623,0.001304279,0.006634743,0.004331376,0.005139802,0.1487101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003603755,"about_ca_system_score_gemma":0.004842952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005216943,"about_ca_topic_score_gemma":0.009306411,"domain_scores_codex":[0.9955177,0.0008323169,0.0004537901,0.0004996335,0.002402013,0.0002945778],"domain_scores_gemma":[0.9810414,0.003368893,0.0009540837,0.001829033,0.01116863,0.001638036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009886217,0.00001120189,0.00006276854,0.00009197096,0.000002487655,0.00001663004,0.00001250076,0.00004353737,0.00008329909,0.002390869,0.973622,0.02365289],"study_design_scores_gemma":[0.000003434752,0.00001444053,0.0003052538,0.0001401465,0.000003682027,0.0000504773,0.00001884284,0.00008870786,0.00005765425,0.001465676,0.9978412,0.00001045129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001013233,0.02424249,0.02246052,0.1099843,0.6459183,0.000382539,0.006510832,0.002817715,0.18667],"genre_scores_gemma":[0.005936266,0.02202665,0.01125958,0.02999232,0.247353,0.0004726836,0.01118784,0.003569256,0.6682025],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1972102,"threshold_uncertainty_score":0.6597339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015280333067836,"score_gpt":0.2657621287047804,"score_spread":0.245609325374102,"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."}}