{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002390325,0.0008302294,0.001457196,0.001910542,0.0006003572,0.002686005,0.001126758,0.001704512,0.003796092],"category_scores_gemma":[0.01246614,0.0009101796,0.001218095,0.0009050437,0.003020384,0.00239272,0.003666176,0.001922067,0.0002565315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153004,"about_ca_system_score_gemma":0.0006759662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270237,"about_ca_topic_score_gemma":0.001170905,"domain_scores_codex":[0.9986411,0.0006775818,0.0000460425,0.0002104881,0.0002528257,0.0001718693],"domain_scores_gemma":[0.9924607,0.00588097,0.0005751334,0.0002780082,0.0004596372,0.0003456253],"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":[0.00004520835,0.00004160596,0.001017676,0.0001102424,0.0000706074,0.000206919,0.0001315935,0.3558273,0.0009421578,0.6354762,0.000888359,0.005242181],"study_design_scores_gemma":[0.00000625364,0.00002035212,0.0002614393,0.00001797768,0.00001834558,0.00005182193,0.00003171042,0.7157555,0.0001926105,0.283037,0.0005917607,0.00001531988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1292749,0.001852084,0.8248953,0.002447676,0.0001974084,0.00004825094,0.0001783836,0.0002057774,0.0409002],"genre_scores_gemma":[0.9814109,0.0005482207,0.007416065,0.0001668067,0.00007581108,0.00003505233,0.00006957572,0.00004028992,0.01023715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003796092,"threshold_uncertainty_score":0.01562124,"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."}}