{"id":"W4250051604","doi":"10.4018/978-1-5225-7598-6.ch100","title":"Developing a Glossary for Software Projects","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in computer and electrical engineering book series","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Computer science; Context (archaeology); Domain (mathematical analysis); Software; Process (computing); Software development; Software engineering; Software development process; Software project management; Knowledge management; Software construction; Linguistics; Geography","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":[0.003357513,0.001847106,0.001334682,0.01033848,0.003450109,0.007740551,0.002404776,0.002130125,0.04562239],"category_scores_gemma":[0.01260617,0.001024309,0.0007920144,0.01193342,0.00196602,0.01594807,0.004329134,0.007655434,0.03541413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835734,"about_ca_system_score_gemma":0.003095761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002818674,"about_ca_topic_score_gemma":0.004783176,"domain_scores_codex":[0.9969141,0.0007707063,0.0007831627,0.0002540848,0.001180802,0.00009708698],"domain_scores_gemma":[0.9910334,0.003494537,0.0006756448,0.00102469,0.003368563,0.000403224],"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":[0.00002359326,0.00004742881,0.0001452205,0.001196367,0.000007634654,0.0002120772,0.002811182,0.0004109567,0.001306137,0.2108005,0.6483345,0.1347045],"study_design_scores_gemma":[0.000001577303,0.000006582068,0.00009378127,0.0005338173,0.000001881901,0.0001367898,0.0002780423,0.00008670604,0.00007975647,0.007378663,0.9913935,0.00000878131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002930637,0.03818725,0.169133,0.02085099,0.01777518,0.001962085,0.0105362,0.003096033,0.7355286],"genre_scores_gemma":[0.02868785,0.08476169,0.3213994,0.01732093,0.009206783,0.005368433,0.0421292,0.01043775,0.480688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04562239,"threshold_uncertainty_score":0.152622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420809402605972,"score_gpt":0.2483884860100467,"score_spread":0.234180391983987,"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."}}