{"id":"W172667635","doi":"","title":"An Algebraic Query Method for Static Program Analysis and Measurement.","year":2008,"lang":"en","type":"article","venue":"Software Engineering and Data Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Query optimization; Query language; Algebraic number; Programming language; Theoretical computer science; Information retrieval; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009490084,0.0002852155,0.0003616084,0.0004320534,0.0001429682,0.0001420756,0.0007274965,0.00008398556,5.610427e-7],"category_scores_gemma":[0.001523635,0.0002941467,0.00005141882,0.0007063431,0.00002053579,0.0007299885,0.000299615,0.0001657328,3.92706e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003385388,"about_ca_system_score_gemma":0.00004143511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007481338,"about_ca_topic_score_gemma":0.000003502586,"domain_scores_codex":[0.9982553,0.00002198366,0.0002805321,0.0007447686,0.0002851293,0.000412281],"domain_scores_gemma":[0.9978941,0.0005210312,0.00005475144,0.00120504,0.00009874179,0.000226298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003765783,0.0006423058,0.06491062,0.002972577,0.003284759,0.0002161416,0.003471069,0.2137661,0.003260519,0.004885117,0.006603338,0.6959497],"study_design_scores_gemma":[0.0001875,0.0001263246,0.009031465,0.00005871946,0.0001171228,0.00007401121,0.000001922025,0.9885877,0.0001819017,0.0001613075,0.001084507,0.0003875426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007716928,0.0007057381,0.9794314,0.00002677028,0.0001027095,0.0002753269,0.00004322216,0.01169729,5.977981e-7],"genre_scores_gemma":[0.1356402,0.00004376567,0.864017,0.0000287023,0.00005298763,0.00009910111,0.00008074271,0.00003512077,0.000002349671],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7748215,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551195105983421,"score_gpt":0.3039288780590528,"score_spread":0.2584169269992186,"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."}}