{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05785074,0.001220513,0.001091849,0.004858445,0.006904485,0.0153763,0.003773626,0.004727822,0.006491304],"category_scores_gemma":[0.04773953,0.001342897,0.002568309,0.004552549,0.01679142,0.03540256,0.01516388,0.009451822,0.001420072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007817886,"about_ca_system_score_gemma":0.008134332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894752,"about_ca_topic_score_gemma":0.003117725,"domain_scores_codex":[0.9637315,0.0189826,0.004130561,0.003900771,0.008101957,0.001152542],"domain_scores_gemma":[0.9586894,0.01806659,0.002491449,0.01464573,0.004521454,0.001585411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001024009,0.00001041928,0.00008504135,0.00004315653,0.000007602377,0.00002843193,0.0006377153,0.0005764484,0.0002519505,0.9892066,0.001822396,0.007320139],"study_design_scores_gemma":[0.0000286524,0.0000473557,0.0001269983,0.0001377103,0.0000317211,0.0001423254,0.0004833909,0.009444331,0.001246196,0.8493583,0.1389064,0.00004670487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004063854,0.001263024,0.9317992,0.01531397,0.0006939439,0.0002790338,0.0004610134,0.002500946,0.04362506],"genre_scores_gemma":[0.1903613,0.001965046,0.7896863,0.002511242,0.0007995859,0.001122069,0.001396797,0.001360205,0.01079744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05785074,"threshold_uncertainty_score":0.3059476,"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."}}