{"id":"W1980903571","doi":"10.1007/s10584-013-0831-3","title":"Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP)","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"Lawrence Livermore National Laboratory; Office of Science; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency; U.S. Department of Energy; Commonwealth Scientific and Industrial Research Organisation; Office of Research and Development; National Science Foundation","keywords":"Climatology; Precipitation; Climate change; Climate model; Environmental science; General Circulation Model; GCM transcription factors; Geography; Meteorology; Geology; 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":[0.002155063,0.0004332264,0.0003998825,0.0006116023,0.000410906,0.0006324186,0.0008983419,0.000547539,0.001908186],"category_scores_gemma":[0.002608753,0.0001741223,0.0004203596,0.00118658,0.0001315905,0.0005216114,0.0005164327,0.0008356865,0.0003893841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834682,"about_ca_system_score_gemma":0.003825997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1588819,"about_ca_topic_score_gemma":0.1989973,"domain_scores_codex":[0.9995416,0.0001916807,0.00001339903,0.00005857158,0.0001577318,0.00003702309],"domain_scores_gemma":[0.9985241,0.0001906597,0.0001387329,0.0001639541,0.0008385032,0.0001441496],"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":[0.000891029,0.0004244328,0.1957489,0.0008474747,0.0007897019,0.0003714172,0.0003478477,0.3093114,0.005146818,0.02525197,0.3553827,0.1054862],"study_design_scores_gemma":[0.0003449631,0.0002720607,0.3808827,0.0001851911,0.0003632147,0.0001319559,0.0005421554,0.3909152,0.004536174,0.01570626,0.2059359,0.0001842177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.653166,0.002738369,0.02912675,0.01805071,0.001643869,0.0004261126,0.2416528,0.002818007,0.05037744],"genre_scores_gemma":[0.8154854,0.001899146,0.06889945,0.001443937,0.0002233434,0.001019187,0.1028479,0.0003600314,0.007821599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588819,"threshold_uncertainty_score":0.3159141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09284292661712636,"score_gpt":0.3156757493852297,"score_spread":0.2228328227681034,"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."}}