{"id":"W2148159886","doi":"10.1007/s00766-006-0032-y","title":"View merging in the presence of incompleteness and inconsistency","year":2006,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Merge (version control); Theoretical computer science; Terminology; Tracing; Traceability; Formalism (music); Data science; Data mining; Information retrieval; Programming language; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000289068,0.00007020577,0.0001128667,0.00007213461,0.00002405516,0.00003234236,0.0003964207,0.0000163376,6.317445e-7],"category_scores_gemma":[0.00003746275,0.00005155248,0.00001627134,0.0002197914,0.00001911076,0.0002121328,0.0001275982,0.00004422429,4.723571e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001009106,"about_ca_system_score_gemma":0.000008848839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555026,"about_ca_topic_score_gemma":0.00002024162,"domain_scores_codex":[0.9993617,0.00002229861,0.0001883997,0.0001304497,0.0001507894,0.0001463892],"domain_scores_gemma":[0.9996043,0.0001082378,0.00003726265,0.0002268669,0.00001339518,0.000009921248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006237943,0.0001862237,0.139963,0.00102933,0.0000535758,0.000131211,0.004591358,0.0258708,0.05654407,0.7135922,0.0001330406,0.05789894],"study_design_scores_gemma":[0.0008060957,0.00007353529,0.6272902,0.0006101383,0.00001523312,0.00005965647,0.0002808752,0.3563224,0.005868965,0.00632569,0.00189941,0.0004477636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7960569,0.00223771,0.1997747,0.0003370447,0.0002002063,0.0001812536,4.315682e-7,0.00006962659,0.001142144],"genre_scores_gemma":[0.9907812,0.0000273324,0.009142774,0.00002003683,0.00001396067,0.000007659374,2.53619e-7,0.000002623277,0.000004199658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7072665,"threshold_uncertainty_score":0.2102249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157536796801942,"score_gpt":0.2417596494037888,"score_spread":0.2201842814357693,"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."}}