{"id":"W2001343457","doi":"10.1002/joc.1337","title":"Synoptic sea‐level pressure patterns generated by a general circulation model: comparison with types derived from NCEP/NCAR re‐analysis and implications for downscaling","year":2006,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Government of Canada","keywords":"Downscaling; Climatology; Environmental science; Forcing (mathematics); Orographic lift; General Circulation Model; Climate model; Predictability; Meteorology; Climate change; Geography; Precipitation; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001580614,0.0001120415,0.00028896,0.00008667163,0.00007394613,0.00005064196,0.0002064311,0.00008664332,0.00011057],"category_scores_gemma":[0.00002437319,0.0000950125,0.00008777609,0.00009341188,0.0000817355,0.0001877125,0.00004976811,0.00009661932,0.000001536036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007051188,"about_ca_system_score_gemma":0.00001816692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009423479,"about_ca_topic_score_gemma":0.00113739,"domain_scores_codex":[0.9988992,0.00005284287,0.0004818389,0.0002170325,0.0002030292,0.0001460692],"domain_scores_gemma":[0.9991643,0.0001501691,0.0003868206,0.0001089927,0.0001337761,0.00005593085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008012375,0.00008539367,0.5623839,0.000003086041,0.0003724021,0.000001111899,0.00008339881,0.4159818,0.0203823,0.0003018766,0.0001692393,0.0001553312],"study_design_scores_gemma":[0.0006989088,0.00003691176,0.2434452,0.00001026276,0.0006272981,0.00003119815,0.00001960995,0.7503697,0.001177187,0.003332171,0.0001303765,0.0001211997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6595661,0.00007044116,0.3386798,0.001096769,0.00004232226,0.00007515296,0.0004206315,0.000006651481,0.00004211292],"genre_scores_gemma":[0.9823719,0.00003337925,0.01705276,0.0001305948,0.00005360386,0.00001168694,0.0003210003,0.000009718643,0.00001532431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3343878,"threshold_uncertainty_score":0.3874497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906218535714178,"score_gpt":0.2931566866240546,"score_spread":0.2640945012669129,"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."}}