{"id":"W2229315912","doi":"10.1007/978-3-319-15744-3_11","title":"Outputs from Probabilistic Sensitivity Analysis","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sensitivity (control systems); Probabilistic logic; Computer science; Artificial intelligence; 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":[0.009447997,0.00220551,0.001506936,0.00291884,0.0006545484,0.00396883,0.001399733,0.001913521,0.0264841],"category_scores_gemma":[0.04882121,0.0009145989,0.003058619,0.002397885,0.001344123,0.003613137,0.003016466,0.002242202,0.003311673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941095,"about_ca_system_score_gemma":0.001294379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706888,"about_ca_topic_score_gemma":0.001730473,"domain_scores_codex":[0.9932642,0.004156467,0.0002374265,0.0007078828,0.001384541,0.0002494611],"domain_scores_gemma":[0.9767635,0.01972512,0.0006672954,0.00161284,0.001089774,0.000141462],"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":[0.0002577448,0.00005211012,0.002199895,0.0004225473,0.0002560629,0.0001689139,0.0001345058,0.8061374,0.0008871262,0.124069,0.01044423,0.05497051],"study_design_scores_gemma":[0.00001945711,0.00002795899,0.0007317309,0.0001047535,0.00006175043,0.00007664946,0.00004475441,0.6279241,0.001281894,0.3642411,0.005444825,0.00004100477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01938675,0.001174497,0.928688,0.001559254,0.0001971122,0.0001663247,0.004129454,0.002080787,0.04261773],"genre_scores_gemma":[0.7438322,0.001776621,0.2291023,0.0006188556,0.000343217,0.0006868771,0.007089475,0.001842743,0.01470767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0264841,"threshold_uncertainty_score":0.08859813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4764776341110078,"score_gpt":0.410851038587756,"score_spread":0.06562659552325184,"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."}}