{"id":"W22089455","doi":"10.3899/jrheum.110532","title":"GENERATING LOG FILE ANALYZERS","year":2012,"lang":"en","type":"dissertation","venue":"The Journal of Rheumatology","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Software; Spectrum analyzer; Prolog; Task (project management); Automation; Set (abstract data type); Process (computing); Regression testing; Programming language; Reliability engineering; Operating system; Software development; Software construction; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267556,0.0001711801,0.0005072064,0.0001573685,0.0001722732,0.00003375997,0.001250952,0.0002358746,0.0003721014],"category_scores_gemma":[0.0001904292,0.00009742857,0.0001738413,0.0002064548,0.00004137378,0.0002844038,0.00005481369,0.0005312141,0.00007358578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004560155,"about_ca_system_score_gemma":0.0002675707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131232,"about_ca_topic_score_gemma":0.0000911024,"domain_scores_codex":[0.9983032,0.0002789923,0.0007538888,0.000108516,0.0002864012,0.0002690214],"domain_scores_gemma":[0.9973832,0.0004629063,0.001338696,0.0004502933,0.0002907923,0.00007406207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005193666,0.0005211908,0.2045185,0.002582844,0.002345845,0.00005038807,0.06789235,0.005669346,0.001333175,0.003819539,0.5394913,0.1712562],"study_design_scores_gemma":[0.01069376,0.005101234,0.4402668,0.01418835,0.003540053,0.155174,0.02685636,0.1490451,0.007335162,0.01660879,0.1615916,0.009598704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737329,0.003900994,0.01469655,0.0002271984,0.00659045,0.0001192104,0.000005600246,0.00003929145,0.000687791],"genre_scores_gemma":[0.9941564,0.0005672672,0.004292808,0.00006413862,0.00008056659,0.000004338975,0.00003145979,0.00001724901,0.0007858354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778996,"threshold_uncertainty_score":0.407425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037380841559643,"score_gpt":0.2547732632743708,"score_spread":0.2443994548587743,"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."}}