{"id":"W2955830544","doi":"10.3390/cli7070087","title":"An Unusual Cold February 2019 in Saskatchewan—A Case Study Using NCEP Reanalysis Datasets","year":2019,"lang":"en","type":"article","venue":"Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Environmental science; Jet stream; Storm; Winter storm; Cold front; Sea surface temperature; Storm track; Siberian High; Air temperature; Atmospheric sciences; Meteorology; Geography; Geology; Jet (fluid); East Asia","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001020084,0.0001828342,0.0002850751,0.00007416059,0.0001246919,0.00005993251,0.000275849,0.00007716942,0.001465259],"category_scores_gemma":[0.00001073961,0.0001766025,0.0000523191,0.0004074215,0.00008130507,0.0005447932,0.0003664376,0.0001575299,0.0008101188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215568,"about_ca_system_score_gemma":0.00001664807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04372322,"about_ca_topic_score_gemma":0.03080803,"domain_scores_codex":[0.9980999,0.0002016201,0.0003688852,0.0006204033,0.0002674867,0.0004417007],"domain_scores_gemma":[0.9987216,0.00006669704,0.00009528905,0.0009766952,0.000005112378,0.0001345876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005722856,0.002118122,0.9206806,0.00002192349,0.00002351355,0.00134991,0.003108629,0.04528987,0.02644451,0.00001047741,0.0006605514,0.0002346823],"study_design_scores_gemma":[0.007734391,0.002315701,0.4531948,0.0001181241,0.0007992793,0.001282165,0.1269298,0.4006505,0.001894271,0.0003338715,0.001628413,0.003118622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950537,0.000006319759,0.00001364533,0.00001488428,0.00007598785,0.0005305728,0.004165794,0.00003261293,0.0001064506],"genre_scores_gemma":[0.9982744,0.000005999715,0.0003398193,0.0001098088,0.00001262625,0.00000953695,0.001218958,0.0000148759,0.00001395316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4674857,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422846050317188,"score_gpt":0.2990312509461057,"score_spread":0.2748027904429338,"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."}}