{"id":"W4236722288","doi":"10.1145/1269899.1254904","title":"Synthetic designs","year":2007,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Design of experiments; Reliability engineering; Statistical power; Variation (astronomy); Sample size determination; Sample (material); Statistical hypothesis testing; Software; Industrial engineering; Engineering; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04359782,0.001537017,0.001429748,0.00162954,0.001316015,0.002679362,0.00272719,0.002235982,0.05109313],"category_scores_gemma":[0.1066777,0.0008066288,0.001711658,0.001459662,0.002144577,0.00247859,0.00317537,0.002717895,0.006430524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074503,"about_ca_system_score_gemma":0.003374455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000690633,"about_ca_topic_score_gemma":0.0009677422,"domain_scores_codex":[0.9481511,0.04016905,0.002948224,0.00344938,0.004449717,0.0008326161],"domain_scores_gemma":[0.8969189,0.06810164,0.006962292,0.01543027,0.01117338,0.00141359],"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":[0.01304562,0.002451124,0.007846197,0.005393896,0.00104504,0.000356884,0.002311863,0.02066133,0.003614554,0.4769865,0.0543766,0.4119105],"study_design_scores_gemma":[0.009305533,0.01937568,0.005595014,0.002209342,0.001003253,0.0007786725,0.001620203,0.04714981,0.006756343,0.4869576,0.4188959,0.0003525901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04162635,0.002602504,0.8467972,0.002860003,0.004573895,0.03998363,0.006912773,0.001111519,0.05353221],"genre_scores_gemma":[0.228846,0.00204987,0.5981674,0.004141832,0.0009245902,0.1372042,0.00375372,0.0003193056,0.024593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05109313,"threshold_uncertainty_score":0.2305701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290392097846172,"score_gpt":0.380485539652118,"score_spread":0.2514463298675008,"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."}}