{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007435898,0.001299208,0.0007543643,0.001772464,0.0006204812,0.001250903,0.00177608,0.0008600909,0.02756626],"category_scores_gemma":[0.002243231,0.0004314797,0.0006204472,0.004476199,0.0003025958,0.0008056029,0.0009236914,0.000755834,0.0210424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401324,"about_ca_system_score_gemma":0.001622799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09315264,"about_ca_topic_score_gemma":0.06301154,"domain_scores_codex":[0.9992231,0.00009319255,0.0000772362,0.0002333159,0.0002759414,0.00009722928],"domain_scores_gemma":[0.9981441,0.00009572016,0.0001270197,0.0005033505,0.001041279,0.00008859036],"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":[0.0004149492,0.00008922627,0.0105745,0.0004888509,0.0001672009,0.0001690032,0.0001077988,0.008916332,0.002069185,0.002046495,0.9546801,0.02027639],"study_design_scores_gemma":[0.0004327355,0.00003917872,0.05435335,0.0001626393,0.0000573665,0.00009456558,0.0001263554,0.008987487,0.005790654,0.001116348,0.9287646,0.00007469425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009173058,0.0001323841,0.0006479674,0.0001404788,0.000119372,0.00006642587,0.9809155,0.002398162,0.00640671],"genre_scores_gemma":[0.01030795,0.0000815648,0.001998733,0.00006363679,0.00003114453,0.0001602912,0.9838614,0.0003907255,0.003104514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09315264,"threshold_uncertainty_score":0.1852208,"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."}}