{"id":"W1797576373","doi":"10.2737/rmrs-gtr-263","title":"High resolution interpolation of climate scenarios for the conterminous USA and Alaska derived from general circulation model simulations","year":2011,"lang":"en","type":"report","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Climatology; Environmental science; Climate model; Climate change; Precipitation; Greenhouse gas; Coupled model intercomparison project; Latitude; Longitude; General Circulation Model; Meteorology; Atmospheric sciences; Geography; 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":[0.0007615199,0.0003744044,0.0002283139,0.0008975202,0.0002762927,0.0003906832,0.000348242,0.0003113686,0.001922502],"category_scores_gemma":[0.001501997,0.0002684713,0.0006323279,0.001342783,0.0001321551,0.0003031213,0.0002535562,0.0003846909,0.0002836172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006301567,"about_ca_system_score_gemma":0.0005835062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04384479,"about_ca_topic_score_gemma":0.04513497,"domain_scores_codex":[0.9997941,0.00008190033,0.00001691989,0.00005723566,0.00002718508,0.00002275778],"domain_scores_gemma":[0.9996815,0.0001242493,0.00003340284,0.00005246402,0.00008961649,0.00001883964],"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":[0.0001673274,0.00006246629,0.0293642,0.00004929719,0.00009763245,0.0001051824,0.0000811681,0.9606961,0.0008301933,0.0009844659,0.001119524,0.006442501],"study_design_scores_gemma":[0.0001513752,0.00009415955,0.07607197,0.00003811464,0.00009478916,0.00005755978,0.0001904203,0.9150347,0.001685623,0.001484729,0.005051612,0.00004499787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793229,0.0001144426,0.006317748,0.0000532317,0.00002618119,0.00004521526,0.009322328,0.0003432516,0.004454559],"genre_scores_gemma":[0.980566,0.0001072232,0.007735096,0.000008379377,0.000005438128,0.0000846476,0.01091233,0.00002871463,0.0005520409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04384479,"threshold_uncertainty_score":0.08717918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06851642584298138,"score_gpt":0.2852391921998251,"score_spread":0.2167227663568437,"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."}}