{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002172487,0.0001144806,0.00027925,0.0001537252,0.0002547777,0.00009355846,0.0003061288,0.00003113548,0.000876736],"category_scores_gemma":[0.000183056,0.0000916529,0.00009553471,0.0001663917,0.0001198346,0.00007761049,0.0001518868,0.0000692383,0.01548415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009195488,"about_ca_system_score_gemma":0.000009135037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007970417,"about_ca_topic_score_gemma":0.000002846793,"domain_scores_codex":[0.9988365,0.000009017496,0.0005809221,0.0002582628,0.00007443174,0.00024086],"domain_scores_gemma":[0.9989793,0.00008400519,0.0004933693,0.0003719888,0.00002564202,0.00004568965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001177384,0.0000373412,0.0001624675,0.00006301194,0.00004673797,0.000002171843,0.01052695,0.00005071814,9.558737e-7,0.9748564,0.01419049,0.00006155083],"study_design_scores_gemma":[0.00143502,0.00006436971,0.005037462,0.0001907613,0.00007235896,0.0004399272,0.01390386,0.06938005,0.0001143226,0.02618628,0.8819366,0.001238978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01334514,0.00006302899,0.001963793,0.0001476841,0.001232022,0.0001411032,0.0001277185,0.00007276396,0.9829068],"genre_scores_gemma":[0.9761714,0.00001472128,0.0009733937,0.00009201222,0.0001497267,0.00002582196,0.000007997561,0.00001609581,0.02254877],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9628263,"threshold_uncertainty_score":0.9852824,"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."}}