{"id":"W2792121704","doi":"10.1002/2017jd027199","title":"Introduction to CAUSES: Description of Weather and Climate Models and Their Near‐Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Climate variability and models","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Office of Science; Agenzia Sanitaria Regionale Abruzzo; Battelle; U.S. Department of Energy","keywords":"Climatology; Environmental science; Meteorology; Atmospheric sciences; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001189716,0.001440089,0.0005313063,0.001832635,0.0005379515,0.001733862,0.00142516,0.0008009445,0.008280557],"category_scores_gemma":[0.003091781,0.0007496818,0.001350236,0.002212043,0.0004472664,0.001392297,0.001046788,0.002056977,0.003413045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007127092,"about_ca_system_score_gemma":0.001416311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009556005,"about_ca_topic_score_gemma":0.008604432,"domain_scores_codex":[0.9994922,0.0001248981,0.00008401056,0.00007954765,0.0001766974,0.0000426214],"domain_scores_gemma":[0.9990585,0.0003710586,0.0001412945,0.000175963,0.0001979258,0.00005519403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008759619,0.0002312697,0.01490909,0.001215439,0.0002568252,0.0006081908,0.0004972214,0.2236871,0.006176692,0.2197567,0.2887093,0.2438646],"study_design_scores_gemma":[0.00002190751,0.0001498552,0.009509495,0.0002960395,0.00004455102,0.0003197787,0.0001093003,0.06985464,0.001142912,0.04044392,0.8780398,0.00006783386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01648727,0.02369283,0.8404277,0.003906939,0.009437744,0.0009811328,0.04815563,0.006221941,0.05068887],"genre_scores_gemma":[0.145925,0.05154996,0.6257533,0.004776861,0.01276478,0.00441137,0.06135372,0.006638077,0.0868269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009556005,"threshold_uncertainty_score":0.0277012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406568432712626,"score_gpt":0.2888175768786985,"score_spread":0.2547518925515722,"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."}}