{"id":"W2027469749","doi":"10.1029/2005gl024057","title":"Bias corrections of long‐term (1973–2004) daily precipitation data over the northern regions","year":2005,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Snow; Environmental science; Climatology; Atmospheric sciences; Latitude; Arctic; Meteorology; Geography; Geology; Oceanography; Geodesy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006861658,0.0001136528,0.0001368515,0.00009249914,0.0004639457,0.00007095095,0.0008367321,0.00004303098,0.0003490693],"category_scores_gemma":[0.0003554639,0.00007646179,0.00006813122,0.0005110397,0.0006197184,0.0004330561,0.0001043061,0.0005144129,0.0004563835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853367,"about_ca_system_score_gemma":0.0001075795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005317773,"about_ca_topic_score_gemma":0.01047427,"domain_scores_codex":[0.9978583,0.000283712,0.0002174766,0.0003343511,0.0008230137,0.0004831608],"domain_scores_gemma":[0.997592,0.001320333,0.00007456841,0.0007747808,0.0001110166,0.0001272908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428868,0.0001861746,0.7989841,0.00003798475,0.0001077641,0.00001991489,0.00231795,0.003709906,0.0004113167,0.0002468846,0.0256786,0.1681565],"study_design_scores_gemma":[0.0001924827,0.00008899775,0.9725682,0.00002592648,0.00001895955,0.000005662408,0.0002917263,0.02333866,0.00001227325,0.0002508824,0.003096481,0.0001097958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859408,0.00004343704,0.001333772,0.01127097,0.0001881892,0.0002387357,0.0001494797,0.00002315604,0.0008114922],"genre_scores_gemma":[0.9974766,0.00004628119,0.0002214917,0.000711793,0.0005395326,0.00000296613,0.0004212855,0.000006186178,0.0005738172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.173584,"threshold_uncertainty_score":0.8038918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07601246924893018,"score_gpt":0.3165493399341646,"score_spread":0.2405368706852344,"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."}}