{"id":"W7067797013","doi":"","title":"National Climate Indicators System Report","year":2014,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Los Alamos National Laboratory; Sandia National Laboratories; Oak Ridge National Laboratory; South Dakota State University; U.S. Forest Service; Centers for Disease Control and Prevention; U.S. Geological Survey; National Oceanic and Atmospheric Administration; York University; University of Montana; U.S. Army Corps of Engineers; University of California, Santa Barbara; Texas Tech University; U.S. Department of Energy; University of Wisconsin-Madison; Massachusetts Institute of Technology; City University of New York; National Aeronautics and Space Administration; Denver Botanic Gardens; Louisiana State University; U.S. Department of Homeland Security; University of Oregon; U.S. Department of Agriculture; U.S. Department of Defense; Nature Conservancy; National Science Foundation","keywords":"Vulnerability (computing); Climate change; Variety (cybernetics); Climate system; Private sector; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005719699,0.001598008,0.001595095,0.005346465,0.0007493458,0.002560239,0.002682363,0.001146015,0.03474569],"category_scores_gemma":[0.01135494,0.0005351591,0.0008429576,0.01073026,0.0004579026,0.0025529,0.001853499,0.002712833,0.03083063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004138413,"about_ca_system_score_gemma":0.01865854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07715555,"about_ca_topic_score_gemma":0.03913679,"domain_scores_codex":[0.993803,0.0009330497,0.0006670343,0.0006478326,0.003532392,0.0004166153],"domain_scores_gemma":[0.9858161,0.0007704034,0.0008723481,0.0008379424,0.01123607,0.0004671042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001465855,0.00006998603,0.00617472,0.001101425,0.000112143,0.00006884425,0.00008812857,0.001159386,0.0003440122,0.0106044,0.9401176,0.04001282],"study_design_scores_gemma":[0.00004328928,0.0000245597,0.01192683,0.0002487534,0.00004734566,0.00004123379,0.0001067852,0.0003933279,0.0002641706,0.002103298,0.9847698,0.00003056399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001926767,0.004188887,0.004532213,0.003709411,0.003466294,0.000925121,0.8525891,0.001469114,0.1271931],"genre_scores_gemma":[0.02339576,0.008003194,0.0166899,0.001902992,0.0006965122,0.003718686,0.8922459,0.0008620375,0.05248501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07715555,"threshold_uncertainty_score":0.1534129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431322663410463,"score_gpt":0.2183981250156648,"score_spread":0.1840848983815601,"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."}}