{"id":"W2137381762","doi":"10.1145/1391732.1391736","title":"Perturb+mutate","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmark (surveying); Computer science; Heuristic; Electronic circuit; Locality; Constant (computer programming); Software; Measure (data warehouse); Algorithm; Artificial intelligence; Physics","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":[0.0004561482,0.001091663,0.0005669857,0.0006710677,0.00049343,0.000895053,0.001235584,0.0006075143,0.01786389],"category_scores_gemma":[0.002293763,0.0004132881,0.0006509338,0.000396849,0.000580444,0.001036218,0.001139814,0.0007165816,0.003576605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005638895,"about_ca_system_score_gemma":0.0005911326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078962,"about_ca_topic_score_gemma":0.00211767,"domain_scores_codex":[0.9993886,0.00009533757,0.00003430088,0.000155959,0.0002460274,0.00007973656],"domain_scores_gemma":[0.999212,0.000285039,0.0000787155,0.0002707179,0.0001222846,0.00003116991],"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":[0.0008706099,0.000284914,0.005865333,0.00108558,0.0002062276,0.0007299733,0.0002620923,0.1230583,0.1036766,0.04683759,0.03930881,0.6778139],"study_design_scores_gemma":[0.0003788863,0.001121311,0.002400652,0.0001108675,0.0002313469,0.001610509,0.0001876736,0.4269852,0.2900773,0.04045929,0.2362999,0.0001371377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1067419,0.0004961686,0.8073002,0.0005529056,0.0004928655,0.0008403255,0.002175902,0.03666089,0.04473877],"genre_scores_gemma":[0.432952,0.0003894493,0.5249358,0.0007454045,0.0000634879,0.0009054351,0.002708493,0.006531734,0.0307682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01786389,"threshold_uncertainty_score":0.05976069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947528388217952,"score_gpt":0.2068593084673066,"score_spread":0.1873840245851271,"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."}}