{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705729,0.002248395,0.001320642,0.003831477,0.0005940517,0.001252294,0.002915537,0.002572038,0.01793155],"category_scores_gemma":[0.01234296,0.0005736065,0.00164756,0.004936369,0.0004806655,0.0009202961,0.001302689,0.001628402,0.01871299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182975,"about_ca_system_score_gemma":0.001628239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141846,"about_ca_topic_score_gemma":0.02809679,"domain_scores_codex":[0.9972787,0.0003912439,0.000386768,0.0007700064,0.0009191725,0.0002540275],"domain_scores_gemma":[0.9924688,0.003581834,0.0005951533,0.001655576,0.001470274,0.0002284406],"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":[0.0008307961,0.0002439754,0.01233858,0.004147311,0.0004381355,0.0001906513,0.00008383841,0.0111606,0.001217789,0.0008542005,0.9443915,0.02410261],"study_design_scores_gemma":[0.001405221,0.0003344494,0.04812632,0.001015192,0.0004422106,0.0006609336,0.0001824771,0.01313864,0.004558763,0.003306862,0.9266576,0.0001712416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003120521,0.000292151,0.0003964519,0.00008971211,0.00004750436,0.00003223441,0.994467,0.0006897493,0.0008646688],"genre_scores_gemma":[0.003905489,0.00009453826,0.000652989,0.00005701819,0.000009507808,0.0001702458,0.9942918,0.0001271077,0.00069136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01793155,"threshold_uncertainty_score":0.05998701,"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."}}