{"id":"W4246520630","doi":"10.1002/9781118445112.stat05260","title":"Sensitivity","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sensitivity (control systems); Robustness (evolution); Outlier; Statistics; Computer science; Context (archaeology); Mathematics; Engineering; Chemistry; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03648028,0.002699564,0.003588799,0.007099776,0.00102582,0.008815012,0.003294286,0.002210336,0.05559898],"category_scores_gemma":[0.2360334,0.0009855551,0.005230087,0.004845906,0.002093193,0.004586536,0.00425783,0.002968392,0.01721343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003204945,"about_ca_system_score_gemma":0.003117266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604418,"about_ca_topic_score_gemma":0.001279019,"domain_scores_codex":[0.9386793,0.03235583,0.004384202,0.009059868,0.01386605,0.001654843],"domain_scores_gemma":[0.8490413,0.113934,0.007302296,0.01525564,0.01334643,0.001120298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00237312,0.0002685603,0.05744258,0.01102671,0.006249298,0.0007143422,0.001077406,0.06338874,0.002963756,0.1810093,0.1456471,0.5278391],"study_design_scores_gemma":[0.0003673458,0.001066406,0.02833597,0.007437637,0.004272642,0.004419526,0.00090111,0.06880292,0.01082323,0.4472527,0.4256946,0.0006259637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04308647,0.05454629,0.4875406,0.01078397,0.006255221,0.003938333,0.04781435,0.005799125,0.3402357],"genre_scores_gemma":[0.8099208,0.01077834,0.1098805,0.009477673,0.002916423,0.003112221,0.01817563,0.002203675,0.03353481],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05559898,"threshold_uncertainty_score":0.1929284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1377091978986355,"score_gpt":0.4364900315834762,"score_spread":0.2987808336848407,"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."}}