{"id":"W4414909223","doi":"10.1007/s44248-025-00067-x","title":"A comparative case study on the performance of global sensitivity analysis methods on digit classification","year":2025,"lang":"en","type":"article","venue":"Discover Data","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensitivity (control systems); MNIST database; Key (lock); Deep learning; Digit recognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01917661,0.001642923,0.001116071,0.00282015,0.0007653357,0.001691279,0.001168493,0.001952443,0.001875956],"category_scores_gemma":[0.04078651,0.0003120834,0.00119621,0.002240141,0.001528675,0.001780813,0.001870264,0.001742073,0.0002209994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123496,"about_ca_system_score_gemma":0.000985834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003107453,"about_ca_topic_score_gemma":0.003687159,"domain_scores_codex":[0.990655,0.005862482,0.0004198344,0.0009241856,0.001711121,0.0004274243],"domain_scores_gemma":[0.9190497,0.07055075,0.002025366,0.003889616,0.004026736,0.0004577989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001061712,0.0004209199,0.01870027,0.0006614456,0.0003362952,0.0005661306,0.0005190463,0.8396661,0.004643325,0.01621755,0.002297644,0.1149095],"study_design_scores_gemma":[0.00006489814,0.0006981561,0.005947769,0.00009766328,0.00008482779,0.0003077333,0.0005625942,0.9656867,0.01018155,0.01453225,0.001772912,0.00006282955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5882167,0.002428308,0.3941365,0.001193191,0.0001180108,0.000590839,0.0004461793,0.0006086881,0.01226153],"genre_scores_gemma":[0.9101187,0.000335725,0.08806735,0.0001386638,0.0000266476,0.0001643667,0.0001935576,0.00005349841,0.0009013432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917661,"threshold_uncertainty_score":0.1014168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3825434191462059,"score_gpt":0.5072527023867561,"score_spread":0.1247092832405503,"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."}}