{"id":"W3035190103","doi":"10.2139/ssrn.3270839","title":"Cascade Sensitivity Measures","year":2018,"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":"Cascade; Sensitivity (control systems); Chemistry; Chromatography; Engineering; Electronic 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":[0.01529155,0.0001416292,0.0002184331,0.0001847649,0.0003527741,0.0001660181,0.0004383056,0.00008593169,0.00007515439],"category_scores_gemma":[0.003679391,0.00009461076,0.0001277649,0.0004455776,0.0001615284,0.0002237835,0.00005410105,0.001145493,0.0005631632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198085,"about_ca_system_score_gemma":0.001475198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002765136,"about_ca_topic_score_gemma":0.000474826,"domain_scores_codex":[0.9961589,0.0002996701,0.0003918114,0.0002843511,0.001055164,0.001810076],"domain_scores_gemma":[0.9984444,0.0004748207,0.0001430333,0.0003401132,0.0004599485,0.0001376702],"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":[0.0001809464,0.0001381345,0.00253847,0.000002643686,0.0002678238,0.00006978963,0.0008054056,0.002639832,0.007607401,0.611514,0.01301213,0.3612235],"study_design_scores_gemma":[0.0003686157,0.0003493408,0.001796358,0.00001107096,0.00002404399,0.002533519,0.0007287261,0.004848395,0.0008092311,0.9692891,0.01898654,0.0002550993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07048984,0.000799643,0.9237434,0.0008357232,0.0007408158,0.00007095706,0.000001569779,0.0000584054,0.003259624],"genre_scores_gemma":[0.9946235,0.0001489595,0.0006884903,0.00009973237,0.000994548,9.80225e-7,1.958331e-7,0.00001387764,0.003429657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9241337,"threshold_uncertainty_score":0.7238511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05166773522449398,"score_gpt":0.315854146413061,"score_spread":0.2641864111885671,"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."}}