{"id":"W1628247657","doi":"","title":"Seasonal Prediction at the Regional Scale: An Analysis of Regional Climate Model Performance Over Central America.","year":2006,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Scale (ratio); Climatology; Environmental science; Climate model; Scale analysis (mathematics); Climate change; Meteorology; Geography; Geology; Cartography; Oceanography","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":[0.0009143457,0.0003968842,0.000301555,0.0002835423,0.0002472272,0.0004850058,0.0005017419,0.0003079244,0.0007850332],"category_scores_gemma":[0.00184727,0.0002432874,0.0003477245,0.0007460549,0.000179612,0.0004514008,0.0002394731,0.0003474417,0.0001385829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813022,"about_ca_system_score_gemma":0.0009458637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.114352,"about_ca_topic_score_gemma":0.09366357,"domain_scores_codex":[0.9998732,0.00003723376,0.00000603858,0.00004523513,0.00002002708,0.00001829524],"domain_scores_gemma":[0.9993056,0.0002917137,0.00008981307,0.00008031942,0.000168121,0.000064466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006849268,0.0002311823,0.1753314,0.00006419455,0.0004917604,0.0001082482,0.0002359597,0.7789338,0.005466269,0.000778996,0.006412517,0.03126077],"study_design_scores_gemma":[0.00008624277,0.000119928,0.1173859,0.0000136674,0.0001605717,0.00003156762,0.0001909593,0.8779888,0.002119792,0.000658821,0.001220888,0.00002288589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951255,0.0002336517,0.002201761,0.0001549995,0.00002528591,0.000007205378,0.001018411,0.0002213905,0.001011948],"genre_scores_gemma":[0.9973525,0.00005759003,0.001400746,0.00001419796,0.000006431396,0.000007014101,0.000886171,0.00004143089,0.000233948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114352,"threshold_uncertainty_score":0.2273728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547885280205908,"score_gpt":0.2246410164430233,"score_spread":0.2091621636409643,"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."}}