{"id":"W4322002806","doi":"10.5194/egusphere-egu23-12596","title":"Estimation of global extreme temperature trends by merging Annual Maxima and Peaks Over Threshold","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"","keywords":"Extreme value theory; Merge (version control); Maxima; Maxima and minima; Environmental science; Magnitude (astronomy); Statistics; Threshold limit value; Series (stratigraphy); Mathematics; Climatology; Generalized Pareto distribution; Physics; Computer science; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001211585,0.0004921474,0.0005507074,0.003736824,0.0002663049,0.0009083482,0.0003884884,0.0004174684,0.001880529],"category_scores_gemma":[0.002766704,0.0002263586,0.001269852,0.004122788,0.0002284056,0.0007558362,0.0006761176,0.0005664639,0.0007188298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712237,"about_ca_system_score_gemma":0.0004278553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007656612,"about_ca_topic_score_gemma":0.00738833,"domain_scores_codex":[0.9996058,0.0000707978,0.00003816385,0.0001656179,0.00006067067,0.00005894305],"domain_scores_gemma":[0.9991431,0.0002597922,0.0002348529,0.0001013712,0.000202878,0.00005792089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003784981,0.0001822962,0.6308658,0.000402986,0.0009500402,0.000377649,0.001037331,0.1236033,0.01461209,0.00341887,0.01268123,0.21149],"study_design_scores_gemma":[0.00003726356,0.00009939783,0.7921687,0.00005128164,0.0001337575,0.0001517713,0.000590609,0.1916383,0.003025617,0.003147395,0.008902668,0.00005318587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825996,0.0005031833,0.09284913,0.0001647801,0.00005099488,0.0001009794,0.01763627,0.002113232,0.003981858],"genre_scores_gemma":[0.9145532,0.0002006461,0.05788287,0.00004054884,0.00005801208,0.0001396105,0.02598295,0.0002712247,0.0008709042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007656612,"threshold_uncertainty_score":0.0152241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498167669523063,"score_gpt":0.2684086124907095,"score_spread":0.2434269357954788,"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."}}