{"id":"W4388470092","doi":"10.2139/ssrn.4597400","title":"Differential Sensitivity in Discontinuous Models","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensitivity (control systems); Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.006719261,0.0001410043,0.0002772997,0.0004280202,0.000126365,0.0001496045,0.0003755479,0.00007615392,0.00003046819],"category_scores_gemma":[0.0007943345,0.00009887748,0.0001283488,0.0009128875,0.00004619857,0.000303089,0.00009003957,0.001253619,0.0001897666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003465615,"about_ca_system_score_gemma":0.0007173466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003700958,"about_ca_topic_score_gemma":0.0006713768,"domain_scores_codex":[0.9963004,0.0002015661,0.0004670667,0.0002971111,0.0007870317,0.001946819],"domain_scores_gemma":[0.99899,0.0004705322,0.0001060275,0.0002595564,0.00008391115,0.00008996567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001239159,0.0001532948,0.004939374,0.000005978977,0.00009122422,0.0002325306,0.0007079795,0.2777641,0.001852428,0.6335348,0.001698579,0.07889578],"study_design_scores_gemma":[0.0003515268,0.00005151951,0.003842298,0.00001120969,0.000005846653,0.000184273,0.0006444569,0.1660209,0.00001807234,0.8286588,0.00007939038,0.0001316946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4892507,0.0001305127,0.5091781,0.0004933298,0.0003815531,0.00007575965,0.000002490402,0.00006307763,0.0004244906],"genre_scores_gemma":[0.995979,0.0002797376,0.00008192862,0.00001390419,0.0001851381,0.000003120138,0.000001542252,0.00001506858,0.003440522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5090961,"threshold_uncertainty_score":0.5446423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451940512850541,"score_gpt":0.3062437891040276,"score_spread":0.2517243839755222,"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."}}