{"id":"W2264573728","doi":"10.2172/953845","title":"Final Progress Report: Collaborative Research: Decadal-to-Centennial Climate & Climate Change Studies with Enhanced Variable and Uniform Resolution GCMs Using Advanced Numerical Techniques","year":2009,"lang":"en","type":"report","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate model; Climatology; Centennial; Coupled model intercomparison project; Environmental science; General Circulation Model; Grid; Variable (mathematics); Climate change; Meteorology; Mesoscale meteorology; Representative Concentration Pathways; Computer science; Geography; Geology; Mathematics","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":[0.01056557,0.001022853,0.001019461,0.002022433,0.001629422,0.004426171,0.002998909,0.002313969,0.05154341],"category_scores_gemma":[0.005693725,0.0003159585,0.001093803,0.003046511,0.0005194457,0.002086844,0.003744049,0.001909638,0.02370875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699829,"about_ca_system_score_gemma":0.01570647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0320451,"about_ca_topic_score_gemma":0.01724387,"domain_scores_codex":[0.9969417,0.0005111611,0.0001585295,0.0005401841,0.001303927,0.0005443727],"domain_scores_gemma":[0.9849628,0.000927979,0.0004526924,0.001577041,0.008824523,0.003254962],"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":[0.001625686,0.0009675511,0.00816927,0.00110057,0.000146921,0.0002532825,0.0003800009,0.002772258,0.006498564,0.007729487,0.7755358,0.1948206],"study_design_scores_gemma":[0.0004085855,0.0004936855,0.0183946,0.0001928111,0.00007749446,0.00009370457,0.0003137877,0.002240332,0.008206311,0.001951732,0.9675832,0.00004378516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04051371,0.02479251,0.05110468,0.06239436,0.04784986,0.01051692,0.212561,0.008224911,0.5420421],"genre_scores_gemma":[0.1269217,0.01388021,0.0641823,0.006840157,0.004600852,0.005059335,0.2262804,0.003342566,0.5488925],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05154341,"threshold_uncertainty_score":0.1724299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1883349087422461,"score_gpt":0.4228409226780529,"score_spread":0.2345060139358068,"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."}}