{"id":"W6901665333","doi":"10.6068/dp16590aaf8d91","title":"TREND: Criminal Justice Information Services Division, Federal Bureau of Investigation, Federal Bureau of Investigation. Arrests: Uniform Crime Reporting Population Totals | State: Virginia | County: Amelia, Amherst, Appomattox, Arlington, Augusta, Bath, Bedford, Bedford City, Bland, Botetourt, Bristol, Brunswick, Buchanan, Buckingham, Buena Vista City, Campbell, Caroline, Carroll, Charles City, Charlotte, Charlottesville City, Chesapeake City, Chesterfield, Clarke, Clifton Forge City, Colonial Heights City, Covington City, Craig, Culpeper, Cumberland, Danville City, Dickenson, Dinwiddie, Emporia City, Essex, Fairfax, Fairfax City, Falls Church City, Fauquier, Floyd, Fluvanna, Franklin, Franklin City, Frederick, Fredericksburg City, Galax City, Giles, Gloucester, Goochland, Grayson, Greene, Greensville, Halifax, Hampton City, Hanover, Harrisonburg City, Henrico, Henry, Highland, Hopewell City, Isle Of Wight, James City, King And Queen, King George, King William, Lancaster, Lee, Lexington City, Loudoun, Louisa, Lunenburg, Lynchburg City, Madison, Manassas City, Manassas Park City, Martinsville City, Mathews, Mecklenburg, Middlesex, Montgomery, Nelson, New Kent, Newport News City, Norfolk City, Northampton, Northumberland, Norton City, Nottoway, Orange, Page, Patrick, Petersburg City, Pittsylvania, Poquoson City, Portsmouth City, Powhatan, Prince Edward, Prince George, Prince William, Pulaski, Radford, Rappahannock, Richmond, Richmond City, Roanoke, Roanoke City, Rockbridge, Rockingham, Russell, Salem, Scott, Shenandoah, Smyth, Southampton, Spotsylvania, Stafford, Staunton City, Suffolk City, Surry, Sussex, Tazewell, Virginia Beach City, Warren, Washington, Waynesboro City, Westmoreland, Williamsburg City, Winchester City, Wise, Wythe, York, 2016. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 010-002-003","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Criminal justice; Publishing; George (robot); Documentation; Suspect","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":[0.001145436,0.002310203,0.0019412,0.008911468,0.002584538,0.004341695,0.002688897,0.00167713,0.1751539],"category_scores_gemma":[0.0129102,0.001386628,0.001081978,0.01675288,0.0004571727,0.00447662,0.001812533,0.003915701,0.1767917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004152707,"about_ca_system_score_gemma":0.01354048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1528853,"about_ca_topic_score_gemma":0.1570512,"domain_scores_codex":[0.9968867,0.0003788571,0.0006653973,0.0007251753,0.0008453977,0.0004985146],"domain_scores_gemma":[0.9810985,0.001095797,0.002085004,0.0007725226,0.01395216,0.0009961042],"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":[0.00001976193,0.00001641925,0.001020867,0.0001008873,0.000006112095,0.000008659609,0.0000186356,0.000016342,0.000008672428,0.0001389799,0.9952719,0.003372939],"study_design_scores_gemma":[0.0003229506,0.0001014781,0.06234974,0.002322847,0.00009170709,0.000142712,0.001116074,0.0006050065,0.0001800689,0.001474318,0.9312002,0.00009284998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009189989,0.0006053176,0.0002822125,0.001466408,0.001300275,0.0007226266,0.9608477,0.00104586,0.03281051],"genre_scores_gemma":[0.007213978,0.002447271,0.001060416,0.002106764,0.0006265942,0.003873233,0.9155994,0.0009238723,0.06614857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1751539,"threshold_uncertainty_score":0.5859483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259753275750015,"score_gpt":0.2632857758327329,"score_spread":0.2373104482577314,"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."}}