{"id":"W2164300322","doi":"10.1145/1138304.1138307","title":"A manifesto for model merging","year":2006,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Merge (version control); Computer science; Theoretical computer science; Manifesto; Data mining; Data science; Information retrieval","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":[0.0001344843,0.0001171205,0.0001354304,0.0001773014,0.0001819325,0.0002080996,0.0001312872,0.00003735935,0.00005005337],"category_scores_gemma":[0.00001700831,0.0001003297,0.0001005052,0.0002805225,0.00001282546,0.0006297556,0.00004161028,0.00003354993,0.00006955575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008247056,"about_ca_system_score_gemma":0.000009739294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009221427,"about_ca_topic_score_gemma":0.0001247725,"domain_scores_codex":[0.9992603,5.838637e-7,0.000179554,0.0002186762,0.0001228136,0.0002180465],"domain_scores_gemma":[0.9995909,0.00000930814,0.00007740522,0.0001249802,0.0001936369,0.000003812948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002644676,0.00012263,0.001840255,0.0003352367,0.0000279427,0.000002155464,0.000006514683,0.4719693,0.0009169791,0.4944141,0.02263348,0.007705],"study_design_scores_gemma":[0.0002269422,5.81218e-7,0.00005967194,0.00001016752,0.00006747386,2.747149e-7,0.00002257235,0.9334104,0.00003281977,0.05744689,0.008566828,0.0001553577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05010507,0.00008167053,0.8732468,0.002023596,0.00008473944,0.0001240606,0.000001155019,0.0003650325,0.07396784],"genre_scores_gemma":[0.9857303,0.000001225723,0.005866255,0.001224708,0.001084587,0.00003711841,0.0000336609,0.00002534497,0.00599682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9356252,"threshold_uncertainty_score":0.4091327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910476335083301,"score_gpt":0.2191498024653513,"score_spread":0.2000450391145183,"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."}}