{"id":"W3086887009","doi":"","title":"Investigating Added Value of Regional Climate Modeling in North American Winter Storm Track Simulations","year":2017,"lang":"en","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"","keywords":"Climatology; Storm; Climate model; Extratropical cyclone; Environmental science; Storm track; General Circulation Model; Scale (ratio); Precipitation; Climate change; Meteorology; Geography; Geology","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":[0.00009945134,0.00008914823,0.0002521281,0.000157889,0.0002020392,0.00001595798,0.0004310254,0.00003476641,0.00006593798],"category_scores_gemma":[0.00006939129,0.00009135665,0.00006950453,0.0001780308,0.0005131696,0.0003102214,0.00005614884,0.0002338567,0.000008636964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001084569,"about_ca_system_score_gemma":0.00005376988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8383526,"about_ca_topic_score_gemma":0.9982811,"domain_scores_codex":[0.9989649,0.0001036883,0.0001919858,0.0002099274,0.0002421703,0.0002873166],"domain_scores_gemma":[0.999283,0.0001734364,0.0001463723,0.0002425633,0.00003458786,0.0001200512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001120024,0.00002903251,0.7971056,0.00001991952,0.000006332683,0.00001412696,0.00263163,0.1115634,0.00001521702,0.00009810131,0.000002134649,0.08840259],"study_design_scores_gemma":[0.0002933786,0.00004743809,0.6414414,0.00002516034,0.000003478377,3.77707e-7,0.001427828,0.3553405,9.603096e-7,0.00135944,0.000002269458,0.00005770234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988697,0.0000197724,0.0001658879,0.0003762682,0.0000152085,0.00009958435,0.00006722202,0.000006944969,0.0003793895],"genre_scores_gemma":[0.998108,0.00004000906,0.0017518,0.00001774714,0.00001580192,5.004517e-8,0.00004346517,0.000002122986,0.00002102485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2437772,"threshold_uncertainty_score":0.3725416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591689249683422,"score_gpt":0.2388499137251229,"score_spread":0.2029330212282887,"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."}}