{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004970159,0.0003740067,0.0002779565,0.00104063,0.001779558,0.001475613,0.0009398835,0.0007480982,0.001059717],"category_scores_gemma":[0.0008163389,0.0002423636,0.0004080591,0.004097376,0.0007483517,0.000462141,0.001034061,0.0006349153,0.0001652251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132308,"about_ca_system_score_gemma":0.008404597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9219586,"about_ca_topic_score_gemma":0.9691224,"domain_scores_codex":[0.9996974,0.00005822675,0.00002088401,0.00005199177,0.00005432358,0.0001172138],"domain_scores_gemma":[0.9993901,0.0001081779,0.00008807876,0.00005979428,0.0002172984,0.0001365984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002103005,0.0001928496,0.9498935,0.00009996552,0.0004035305,0.01051434,0.002542421,0.01232674,0.003668469,0.001054978,0.007010112,0.01208298],"study_design_scores_gemma":[0.00003207906,0.00002886431,0.9742665,0.00004295343,0.00007529106,0.0004602879,0.01031865,0.009111033,0.0007835998,0.0003129699,0.004512872,0.00005492571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939633,0.0001078958,0.000156604,0.0003050829,0.000009872636,0.00003823735,0.002852416,0.00002332692,0.002543313],"genre_scores_gemma":[0.9967064,0.00016204,0.0002481442,0.0001296424,0.000005055387,0.00002984828,0.00187684,0.000007984108,0.0008339957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07804143,"threshold_uncertainty_score":0.157002,"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."}}