{"id":"W3013590109","doi":"10.18280/isi.250115","title":"Performance Comparison of Sorting Algorithms with Random Numbers as Inputs","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Algorithm; Computer science; Sorting algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097843,0.001031737,0.001088713,0.003238282,0.001131317,0.00239891,0.001376256,0.00146299,0.004040399],"category_scores_gemma":[0.0106947,0.0002627631,0.0006230563,0.004643686,0.0005756511,0.00222487,0.0006944663,0.0005282839,0.001134699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912936,"about_ca_system_score_gemma":0.001939389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004544265,"about_ca_topic_score_gemma":0.002633848,"domain_scores_codex":[0.9959123,0.001063698,0.0004232882,0.0004559676,0.001480415,0.0006643268],"domain_scores_gemma":[0.9907129,0.005610549,0.0004757447,0.0007258427,0.002204234,0.0002707584],"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":[0.01101585,0.001190547,0.01645886,0.001885372,0.0004901957,0.0003838322,0.0005961538,0.3768982,0.03297548,0.01442053,0.01376652,0.5299186],"study_design_scores_gemma":[0.0003094138,0.001842348,0.005985231,0.0001086588,0.0001795349,0.0005215244,0.0005399646,0.8882101,0.08959018,0.004494861,0.008104465,0.0001136516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8634508,0.007335636,0.08900589,0.0008875163,0.0005897053,0.000324629,0.001582531,0.009523744,0.02729947],"genre_scores_gemma":[0.8936462,0.001747085,0.09688543,0.0001496289,0.00007916518,0.0001713268,0.002285959,0.00032585,0.00470939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004544265,"threshold_uncertainty_score":0.01387942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907500112328088,"score_gpt":0.2494158225449613,"score_spread":0.2303408214216804,"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."}}