{"id":"W32808003","doi":"10.1039/d0np00028k","title":"Climate Change: Federal Expenditures for Science and Technology","year":2005,"lang":"en","type":"article","venue":"Natural Product Reports","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; National Institute of General Medical Sciences; U.S. Geological Survey; National Oceanic and Atmospheric Administration; National Institute of Standards and Technology; Natural Sciences and Engineering Research Council of Canada; Smithsonian Institution; U.S. Department of Agriculture; National Aeronautics and Space Administration; U.S. Department of State; U.S. Department of Transportation; National Science Foundation; National Institutes of Health; U.S. Department of Health and Human Services; United States Agency for International Development; U.S. Department of Housing and Urban Development; U.S. Department of Commerce; U.S. Department of Energy; U.S. Department of Defense","keywords":"Climate change; Political science; Natural resource economics; Environmental science; Economics; Geology","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":[0.0004344091,0.001042051,0.0004237656,0.0009800078,0.0008150098,0.00133638,0.0004604819,0.001215229,0.0658846],"category_scores_gemma":[0.0009510611,0.0001485076,0.0003429487,0.001867105,0.0002668776,0.0006066987,0.0009872119,0.001164863,0.0302396],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002280298,"about_ca_system_score_gemma":0.004225795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02541373,"about_ca_topic_score_gemma":0.01960046,"domain_scores_codex":[0.9996068,0.00005054033,0.00001672264,0.00004428787,0.0002062151,0.00007545304],"domain_scores_gemma":[0.9995877,0.00004049613,0.00004552139,0.00003345805,0.0002139771,0.00007878047],"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":[0.0004301891,0.00009631625,0.002652886,0.0006652891,0.00005622011,0.0002940976,0.00007580987,0.001127847,0.003287347,0.01162997,0.5901637,0.3895204],"study_design_scores_gemma":[0.00001775031,0.00003442439,0.005322061,0.00006486884,0.00002123731,0.000116743,0.00006216662,0.00039994,0.0009611252,0.0007009918,0.9922932,0.00000541243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04396122,0.05424222,0.006532074,0.08146793,0.01668253,0.0006050986,0.1058602,0.006549309,0.6840994],"genre_scores_gemma":[0.1632109,0.05250685,0.00900242,0.006275082,0.001565507,0.0003820331,0.05604853,0.0006022506,0.7104065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9977197,"threshold_uncertainty_score":0.2204059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228249298697073,"score_gpt":0.287838247818267,"score_spread":0.2650133179485597,"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."}}