{"id":"W6976739840","doi":"10.6068/dp159c2d5ae8a44","title":"TREND: United States Department of Veterans Affairs. Veterans Population: Veteran Deaths | State: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Washington DC, West Virginia, Wisconsin, Wyoming | Age: All Ages | Gender: All Genders, 2000 - 2030. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 033-001-002","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Veterans Affairs; Administration (probate law); Census; Population; Social security; Pension; Current Population Survey; Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169111,0.001590194,0.001373018,0.003261899,0.0008121828,0.002125213,0.002809816,0.001129344,0.05772042],"category_scores_gemma":[0.009859324,0.0007465691,0.001294956,0.0117366,0.0002645562,0.002160131,0.001415148,0.002585233,0.05211139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858734,"about_ca_system_score_gemma":0.004048423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1135279,"about_ca_topic_score_gemma":0.08656581,"domain_scores_codex":[0.9988502,0.0001666578,0.0002211673,0.0003023509,0.0002792348,0.0001804423],"domain_scores_gemma":[0.9955968,0.0007163348,0.0005604621,0.0003841025,0.002471139,0.0002711417],"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":[0.00002567894,0.000009831684,0.001302069,0.0002193028,0.00002022368,0.000007269361,0.00001278513,0.0001151456,0.00001672376,0.0003202431,0.9964552,0.001495547],"study_design_scores_gemma":[0.0004175541,0.00002849445,0.01376161,0.0008006965,0.00007574227,0.00006698372,0.000324749,0.0006287167,0.0001890802,0.00181004,0.9818544,0.00004189404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000917037,0.00004299563,0.00004532222,0.00007771,0.00003603863,0.00001056554,0.9990885,0.00007457301,0.0005325542],"genre_scores_gemma":[0.000628677,0.0001033847,0.0001943418,0.00009244559,0.00002129252,0.0001061778,0.9981198,0.00004431212,0.0006896187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1135279,"threshold_uncertainty_score":0.2257342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497217799996281,"score_gpt":0.2439704424012272,"score_spread":0.2189982644012644,"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."}}