{"id":"W2166779186","doi":"10.1109/suite.2009.5070012","title":"Search, stitch, view: Easing information integration in an IDE","year":2009,"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 British Columbia","funders":"","keywords":"Computer science; Interleaving; Variety (cybernetics); Software; Software engineering; Code (set theory); Information system; Information flow; World Wide Web; Programming language; Operating system; Engineering; Artificial intelligence","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":[0.009461368,0.00132483,0.001443259,0.003743028,0.001629697,0.003640285,0.003027055,0.002433607,0.005384282],"category_scores_gemma":[0.03918833,0.001733662,0.001331283,0.002734992,0.001911502,0.01694481,0.007767541,0.002333834,0.002833843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007308118,"about_ca_system_score_gemma":0.002910829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273461,"about_ca_topic_score_gemma":0.007263854,"domain_scores_codex":[0.9944923,0.00188349,0.0005173979,0.0006007664,0.002077537,0.000428563],"domain_scores_gemma":[0.9737587,0.015395,0.001449269,0.00626189,0.002057539,0.001077642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002001098,0.00114622,0.01599201,0.001213105,0.0002124099,0.001636615,0.008408005,0.006499176,0.03391258,0.01650425,0.02340838,0.8890662],"study_design_scores_gemma":[0.003028814,0.00401503,0.01626163,0.001255048,0.001862104,0.007909281,0.008967874,0.4291768,0.1951729,0.1182327,0.2132137,0.0009041667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283346,0.001403632,0.7920282,0.001408013,0.0002118803,0.0006135779,0.0004638394,0.06443467,0.0111016],"genre_scores_gemma":[0.207502,0.000551632,0.779112,0.0004633553,0.00008031446,0.0001722171,0.001031224,0.004577215,0.006510041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009461368,"threshold_uncertainty_score":0.05003715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080770909137034,"score_gpt":0.2941469428665696,"score_spread":0.2733392337751992,"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."}}