{"id":"W2412872155","doi":"10.5194/tc-10-2347-2016","title":"Bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western Canada","year":2016,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Department of Environment; Wilfrid Laurier University; Environment and Climate Change Canada; Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Bank of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Alberta Agriculture and Forestry","keywords":"Precipitation; Environmental science; Snow; Taiga; Vegetation (pathology); Climatology; Permafrost; Subarctic climate; Boreal; Physical geography; Atmospheric sciences; Geology; Meteorology; Geography; Oceanography; Forestry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000129953,0.0001165523,0.0001976582,0.000007322361,0.0001493965,0.00001084434,0.0001669364,0.00002911478,0.0006670247],"category_scores_gemma":[0.00004199255,0.00006447676,0.00005017037,0.0002005103,0.00009417574,0.00008679977,0.00002019857,0.00004574007,0.000007499886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003421377,"about_ca_system_score_gemma":0.00007201062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3396518,"about_ca_topic_score_gemma":0.9849607,"domain_scores_codex":[0.9989393,0.00007088461,0.0003484863,0.0001457705,0.0002848578,0.0002106964],"domain_scores_gemma":[0.999168,0.0003395584,0.0001831988,0.000200599,0.00006519873,0.00004346635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001669133,0.00004485324,0.9947634,0.00001326126,0.00002726109,4.1839e-7,0.001151556,0.0005459424,0.0003347403,0.000005546404,0.0009793746,0.002116987],"study_design_scores_gemma":[0.0003375079,0.00007649382,0.9941788,0.00007256923,0.00001144647,9.41362e-7,0.003735779,0.0003574637,0.0005728966,0.0000538717,0.0005152518,0.00008699473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979867,0.0006664467,0.0001186659,0.000276223,0.000347162,0.0002165908,0.0001093875,0.000008504619,0.0002702896],"genre_scores_gemma":[0.999178,0.00003823936,0.00006615755,0.00004511864,0.00002973623,0.000009031614,0.00001557187,0.000003791128,0.0006143546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6453089,"threshold_uncertainty_score":0.7303452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06841894531167128,"score_gpt":0.2584847615058399,"score_spread":0.1900658161941686,"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."}}