{"id":"W7162117510","doi":"10.82308/31815","title":"Model evolution","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Undo; TRACE (psycholinguistics); Software development; Semantics (computer science); Abstraction; Software evolution; Syntax; Software; Software system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005674031,0.00133217,0.0008809672,0.001501744,0.001312085,0.003961764,0.004586336,0.00248995,0.01942821],"category_scores_gemma":[0.01550986,0.0008731206,0.002965395,0.001592788,0.001819891,0.006455277,0.007626106,0.004250958,0.006188161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002663626,"about_ca_system_score_gemma":0.003152122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003274889,"about_ca_topic_score_gemma":0.003422862,"domain_scores_codex":[0.994711,0.00200222,0.0003171875,0.0007457408,0.001956477,0.0002673463],"domain_scores_gemma":[0.9931426,0.002123587,0.0002301,0.00267228,0.001596077,0.0002353214],"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":[0.00005550101,0.0001078844,0.0006671547,0.000423138,0.0001524107,0.0001889055,0.000630129,0.02240766,0.002501804,0.7895631,0.03752801,0.1457743],"study_design_scores_gemma":[0.00004596316,0.00006107851,0.0002130023,0.0002494717,0.0000839458,0.0003223965,0.0001580177,0.07808995,0.003640385,0.3192232,0.5978627,0.00004991538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002269055,0.001002504,0.931267,0.002733544,0.0007008655,0.0003755733,0.0007466223,0.003389635,0.0575153],"genre_scores_gemma":[0.06996342,0.002437939,0.8645908,0.001989179,0.0002646079,0.001002278,0.004334895,0.002483282,0.05293352],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01942821,"threshold_uncertainty_score":0.06499386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005925448447551,"score_gpt":0.2360095200076184,"score_spread":0.2259502655231429,"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."}}