{"id":"W6981195254","doi":"","title":"Distribution and Fate of Energetics on DoD Test and Training Ranges: Final Report","year":2006,"lang":"en","type":"article","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineer Research and Development Center","keywords":"Training (meteorology); Energetics; Deposition (geology); Explosive material; Residue (chemistry); Sampling (signal processing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001646141,0.0002347426,0.0003501346,0.000324173,0.0001271742,0.00008073296,0.0001955777,0.0000993428,0.00002280476],"category_scores_gemma":[0.0004403266,0.0002033543,0.00002548628,0.0003269092,0.0003353671,0.0001328383,0.0001923913,0.0002136121,0.000004958264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008322975,"about_ca_system_score_gemma":0.0001497476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003967787,"about_ca_topic_score_gemma":0.00001396152,"domain_scores_codex":[0.9977803,0.00003863417,0.0004907289,0.0004310336,0.0005862452,0.0006730658],"domain_scores_gemma":[0.9987208,0.0003735432,0.00007147438,0.0002129043,0.000363294,0.0002579648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003173331,0.001013046,0.01535981,0.00196881,0.00006214334,0.0002251827,0.002831102,0.001433174,0.9537795,0.008568118,0.002363756,0.01207798],"study_design_scores_gemma":[0.004288041,0.001578656,0.07672691,0.001380771,0.00002409162,0.000375689,0.00057495,0.007581975,0.8582481,0.0005724868,0.04746822,0.001180151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942466,0.0006984255,0.003948926,0.00006145001,0.0002089996,0.000253594,0.00008491858,0.00005360489,0.0004434656],"genre_scores_gemma":[0.9958908,0.0002266228,0.003327199,0.000002023823,0.00008002532,0.00002961033,0.00009176487,0.00002196817,0.0003299839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09553149,"threshold_uncertainty_score":0.829255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06894470281529361,"score_gpt":0.3105677601802625,"score_spread":0.2416230573649689,"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."}}