{"id":"W2602371412","doi":"10.1007/978-3-662-54494-5","title":"Fundamental Approaches to Software Engineering","year":2017,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Software engineering; Software; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0009265058,0.0005228971,0.0004676612,0.0008038451,0.0002796634,0.001554908,0.006092267,0.0002910855,0.000005796541],"category_scores_gemma":[0.0006411902,0.0005131745,0.0001142893,0.0005441801,0.0001613043,0.001097052,0.002518093,0.0008711963,0.00004558641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005300024,"about_ca_system_score_gemma":0.0006396722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001782519,"about_ca_topic_score_gemma":0.00001051746,"domain_scores_codex":[0.9967184,0.00002021604,0.0003315794,0.00139194,0.000795848,0.0007420158],"domain_scores_gemma":[0.996613,0.0006817971,0.0002075048,0.002173789,0.00006684883,0.0002570604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004522,0.00004247294,0.000282241,0.000148433,0.00002136796,0.0001624681,0.000954902,0.1492781,0.00002904933,0.00305695,0.0006455206,0.845374],"study_design_scores_gemma":[0.0003314733,0.0005184926,0.001401099,0.001542831,0.00001934461,0.0002992675,1.338612e-7,0.874612,0.002497023,0.02798057,0.08810278,0.002695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004575773,0.000317135,0.995235,0.0005459621,0.002193633,0.000412738,0.000005221375,0.000880325,0.0003642402],"genre_scores_gemma":[0.01200109,0.00001139163,0.986396,0.0004375777,0.0005698174,0.00003906292,0.000004885746,0.0000444293,0.0004957515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.842679,"threshold_uncertainty_score":0.999732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05402846256784077,"score_gpt":0.2556472317775512,"score_spread":0.2016187692097104,"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."}}