{"id":"W1528528924","doi":"10.1002/9781118445112.stat04398","title":"Integrated Tail Distribution","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Distribution (mathematics); Reliability (semiconductor); Computer science; Mathematics; Physics; Mathematical analysis","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":[0.003319907,0.0008010552,0.001051683,0.00309219,0.0006345202,0.003235293,0.002174651,0.001723123,0.01962459],"category_scores_gemma":[0.01897094,0.0003345151,0.0009171807,0.002926767,0.002599053,0.005004136,0.001962465,0.002880339,0.004337221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550051,"about_ca_system_score_gemma":0.001041152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195703,"about_ca_topic_score_gemma":0.001004547,"domain_scores_codex":[0.9973766,0.0004826068,0.0001396376,0.0006097616,0.001092944,0.0002985805],"domain_scores_gemma":[0.9869102,0.004724047,0.00172872,0.002115771,0.004043397,0.0004778909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001053543,0.00006369228,0.005266767,0.0002169135,0.00007011626,0.0005131836,0.0001754068,0.0348115,0.002211752,0.8593668,0.0134617,0.0837369],"study_design_scores_gemma":[0.00002675761,0.000087284,0.003013437,0.0002413823,0.00006495391,0.001347301,0.00009338549,0.2432025,0.002278345,0.7272989,0.02227234,0.00007342736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02415022,0.002834471,0.9215235,0.001349759,0.000462259,0.00007946407,0.0009117601,0.001129598,0.04755894],"genre_scores_gemma":[0.8722669,0.003427481,0.07566983,0.001480431,0.001365439,0.0002192474,0.001570801,0.000724014,0.04327592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01962459,"threshold_uncertainty_score":0.06565082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281030910137651,"score_gpt":0.387676529930656,"score_spread":0.2595734389168909,"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."}}