{"id":"W7104400289","doi":"10.25592/uhhfdm.18068","title":"Global Bias-Corrected CORDEX Datasets at Half Degree Resolution","year":2025,"lang":"en","type":"dataset","venue":"Universität Hamburg","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Downscaling; Mean radiant temperature; Precipitation; Climate model; Data set; Relative humidity; Wind speed","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004214827,0.001188619,0.001093596,0.00122134,0.0008227105,0.0001448621,0.00252736,0.00128301,0.002513932],"category_scores_gemma":[0.000642703,0.0014265,0.000407023,0.003058843,0.0004656604,0.001136447,0.00341468,0.0008685897,0.004673211],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00701836,"about_ca_system_score_gemma":0.001148301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01596885,"about_ca_topic_score_gemma":0.03607483,"domain_scores_codex":[0.9944172,0.0005487188,0.0006328168,0.001849179,0.001256045,0.001296032],"domain_scores_gemma":[0.9944361,0.0002858471,0.0008233869,0.003565054,0.000387605,0.0005020247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001016238,0.0002974969,0.00009725622,0.0001445906,0.0004990929,0.001738154,0.00001010523,0.0001001549,0.000012736,0.0001066884,0.9956971,0.0002803405],"study_design_scores_gemma":[0.002011484,0.0001362256,0.0003004064,0.0004655303,0.001459275,0.0001183389,0.00008606948,0.0001965299,0.00000995298,0.00002534911,0.993974,0.001216811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001052557,0.000490227,0.00008410191,0.0001094878,0.002238664,0.0008601918,0.9909934,0.0005953877,0.004523302],"genre_scores_gemma":[0.0000355078,0.0002511934,0.0001610868,0.0002419278,0.0002391234,0.000006085675,0.9927613,0.00005202334,0.006251779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02010598,"threshold_uncertainty_score":0.9988185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605923594613753,"score_gpt":0.2662749473206868,"score_spread":0.2302157113745493,"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."}}