{"id":"W3096296438","doi":"","title":"Ensemble Prediction at the Canadian Meteorological Centre","year":2004,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteorology; Climatology; Environmental science; Geography; Remote sensing; Geology","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":[0.001854115,0.0008905936,0.001154843,0.001291579,0.00227372,0.001524209,0.001457025,0.0006495081,0.01804523],"category_scores_gemma":[0.004163565,0.0004579891,0.0004832006,0.002132669,0.0003361473,0.001682266,0.0008945815,0.001861384,0.004495744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007890656,"about_ca_system_score_gemma":0.02206421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9483804,"about_ca_topic_score_gemma":0.9495139,"domain_scores_codex":[0.9987637,0.00008444187,0.0000267316,0.0002084494,0.0007531758,0.0001634348],"domain_scores_gemma":[0.9958268,0.0001878205,0.00005680849,0.0003629935,0.003181703,0.0003837731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004744609,0.0001672543,0.018428,0.00009227497,0.0001623422,0.0001355717,0.0002109341,0.1073655,0.002822016,0.005929668,0.6475006,0.2167115],"study_design_scores_gemma":[0.0001574503,0.00004592565,0.03588438,0.00005529721,0.00008086882,0.00002266886,0.0001219373,0.7370189,0.004570222,0.002931213,0.2189851,0.0001260985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3098514,0.009679595,0.1614996,0.03361245,0.01821922,0.0008219499,0.2124676,0.03830558,0.2155427],"genre_scores_gemma":[0.6133018,0.003274385,0.08232292,0.0005464867,0.001308198,0.0002130059,0.09934081,0.002666072,0.1970264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05161965,"threshold_uncertainty_score":0.1038473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523132700998133,"score_gpt":0.2001582041014713,"score_spread":0.18492687709149,"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."}}