{"id":"W2031160210","doi":"10.1175/2011jcli4137.1","title":"On North American Decadal Climate for 2011–20","year":2011,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Climate Program Office; National Oceanic and Atmospheric Administration","keywords":"Predictability; Climatology; Forcing (mathematics); Environmental science; Climate model; Climate change; Precipitation; Greenhouse gas; Abrupt climate change; Sea surface temperature; Forecast skill; Noise (video); Global warming; Geology; Meteorology; Effects of global warming; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006591891,0.0003072974,0.0001910303,0.000697009,0.0003308664,0.0005835415,0.0002258657,0.0003543695,0.002680133],"category_scores_gemma":[0.001144694,0.0001207113,0.0002761524,0.001260429,0.00009051909,0.0004195651,0.0003304944,0.0006294475,0.0008825096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007349349,"about_ca_system_score_gemma":0.0006932836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05979289,"about_ca_topic_score_gemma":0.08508937,"domain_scores_codex":[0.9998527,0.00002411083,0.000009684374,0.00004439223,0.00005002675,0.00001908341],"domain_scores_gemma":[0.9991189,0.00009665079,0.0001490482,0.00006315862,0.0005130753,0.00005922067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007982889,0.0003340974,0.6463259,0.0003794317,0.0005904373,0.0004656478,0.0004335904,0.1546709,0.002264312,0.004875558,0.1302461,0.05861576],"study_design_scores_gemma":[0.0000161016,0.0000446874,0.9028671,0.00005360708,0.00007731149,0.00005010463,0.0001917131,0.06573734,0.001094478,0.000899833,0.02891905,0.00004865031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677079,0.0008369,0.00327518,0.002023326,0.0006777745,0.00004297931,0.1032166,0.0008077751,0.02141161],"genre_scores_gemma":[0.9231848,0.0004783149,0.001393576,0.0002055305,0.0001259625,0.00005196213,0.06839637,0.00006510087,0.006098367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9402071,"threshold_uncertainty_score":0.1188897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966329511763882,"score_gpt":0.2646424238056697,"score_spread":0.2349791286880309,"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."}}