{"id":"W6888506950","doi":"10.21227/ffkx-a427","title":"The Effects of Tool Selection on the Schedulability 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; Automotive industry; Code (set theory); Software; Selection (genetic algorithm); Code generation; Minification; Software tool","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":[0.002035188,0.002372069,0.001288817,0.004005477,0.0007331036,0.001430488,0.003068492,0.002706801,0.02016764],"category_scores_gemma":[0.01451752,0.0005948554,0.001692634,0.005001831,0.0005065454,0.001057506,0.001679618,0.00163926,0.02058472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378174,"about_ca_system_score_gemma":0.001989348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556916,"about_ca_topic_score_gemma":0.02710187,"domain_scores_codex":[0.9967126,0.0004981081,0.0004725159,0.0009020047,0.001092605,0.0003221688],"domain_scores_gemma":[0.9908965,0.004354366,0.0007924884,0.001934681,0.001688512,0.0003334406],"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":[0.0008343441,0.0002755438,0.01278538,0.004482719,0.0003920931,0.0001888025,0.0001063861,0.006991786,0.001042447,0.00089644,0.9509247,0.02107931],"study_design_scores_gemma":[0.001210673,0.0003087304,0.04492063,0.001103371,0.000365548,0.0004708924,0.0002409757,0.008048754,0.003046141,0.002797764,0.9373424,0.0001440357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002970324,0.0003096125,0.0003273683,0.00009532923,0.00004967747,0.00003736843,0.9947077,0.0005794911,0.0009231043],"genre_scores_gemma":[0.003273315,0.00008958005,0.0005815806,0.00005562428,0.000008922872,0.0001823046,0.9951286,0.00009547977,0.0005844961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02016764,"threshold_uncertainty_score":0.06746751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314202117542109,"score_gpt":0.2888155736148837,"score_spread":0.2656735524394626,"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."}}