{"id":"W3184828245","doi":"10.32996/jmss.2021.2.2.2","title":"Data Geometry and Extreme Value Distribution","year":2021,"lang":"en","type":"article","venue":"Journal of Mathematics and Statistics Studies","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fondation de France","keywords":"Extreme value theory; Quantile; Maxima; Weibull distribution; Geometry; Generalized extreme value distribution; Distribution (mathematics); Stochastic geometry; Mathematics; Statistical physics; Space (punctuation); Statistics; Physics; Mathematical analysis; Computer science","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":[0.02064727,0.001200798,0.002274474,0.003998571,0.001187812,0.005626321,0.002445545,0.002943175,0.003455469],"category_scores_gemma":[0.09552384,0.0008496281,0.001341481,0.004260045,0.009367193,0.008856517,0.00423452,0.004632813,0.00104309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720236,"about_ca_system_score_gemma":0.001220995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007807576,"about_ca_topic_score_gemma":0.0003010801,"domain_scores_codex":[0.9784589,0.01140698,0.001514434,0.004308727,0.003681885,0.0006290795],"domain_scores_gemma":[0.9047045,0.07156848,0.008485645,0.007786829,0.006132655,0.001321913],"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":[0.0001355166,0.00004966591,0.009355371,0.0003576681,0.0001778749,0.0004177836,0.0005925833,0.0584101,0.0009114127,0.8878725,0.002824327,0.03889527],"study_design_scores_gemma":[0.00001814416,0.00007257189,0.001823417,0.00008437414,0.00002807319,0.0003288876,0.000142576,0.08146763,0.0006198207,0.9115082,0.003858111,0.00004811672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01854057,0.001454954,0.9733402,0.002036532,0.0001217554,0.00008022282,0.0005467376,0.0002837049,0.003595336],"genre_scores_gemma":[0.7089236,0.00277501,0.2811389,0.001164922,0.0008226817,0.000774624,0.001813203,0.0002785244,0.002308583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02064727,"threshold_uncertainty_score":0.1091945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524314744263439,"score_gpt":0.2918352254821514,"score_spread":0.1394037510558074,"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."}}