{"id":"W6888557571","doi":"10.21227/v6kd-4n80","title":"The Effects of Tool Selection on the WCET of SCADE Generated Software: Dataset","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aerospace; Compiler; Code (set theory); Automotive industry; Software; Selection (genetic algorithm); Code generation; Source code","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002297988,0.0007748732,0.000976679,0.0002902062,0.0003089129,0.0001107885,0.003127491,0.0005551723,0.0002249243],"category_scores_gemma":[0.00260469,0.0004544978,0.000182609,0.00104432,0.0004517973,0.0002918564,0.0003971692,0.001265173,0.00594686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712735,"about_ca_system_score_gemma":0.0007163871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009386371,"about_ca_topic_score_gemma":0.0003626316,"domain_scores_codex":[0.994855,0.0007235985,0.0011722,0.0009675205,0.001600307,0.0006813785],"domain_scores_gemma":[0.9897287,0.002231537,0.001955079,0.005704408,0.0002888946,0.00009132795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003069669,0.0002216186,0.00003273707,0.0006327208,0.0005667908,0.00001923688,0.00000664405,0.00008365055,0.008712869,0.000008108618,0.989288,0.0001206377],"study_design_scores_gemma":[0.0005881165,0.0003630903,0.0001565448,0.0003365671,0.0006168422,0.00003242609,0.000004538315,0.00003803084,0.04125416,0.00001003959,0.9561356,0.0004640832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002317893,0.0001536289,0.00001831721,0.00002673836,0.002122065,0.00205861,0.993246,0.00005140102,0.000005323824],"genre_scores_gemma":[0.0001564979,0.0003362118,0.00003440796,0.0002727859,0.00043201,0.0001626854,0.9983238,0.0001476171,0.0001340124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03315245,"threshold_uncertainty_score":0.9997907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215524182431402,"score_gpt":0.282062289238269,"score_spread":0.259907047413955,"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."}}