{"id":"W6939012704","doi":"10.6068/dp152fc0065bf19","title":"Trend 2002 - 2015. United States Census Bureau. US Trade by Commodity Group: Imports | Country: Colombia | Consumer Item: Railway Or Tramway Stock Etc; Traffic Signal Equip, 2002-2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-035-003.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Liberian dollar; Commodity; Population; Stock (firearms); Official statistics","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":[0.0009724647,0.001732016,0.001457068,0.004313612,0.000764071,0.00238316,0.002142676,0.001024607,0.08829667],"category_scores_gemma":[0.01046444,0.0009958119,0.001073654,0.01782521,0.0002577984,0.002891788,0.001523933,0.00206332,0.1089146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421813,"about_ca_system_score_gemma":0.004718784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1856141,"about_ca_topic_score_gemma":0.1337267,"domain_scores_codex":[0.9985398,0.0001524608,0.0002688488,0.0003362525,0.0004942514,0.0002084126],"domain_scores_gemma":[0.9932041,0.0005388104,0.0005923776,0.0005021659,0.004890257,0.0002722673],"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":[0.00001431435,0.000007144346,0.0007355244,0.000200357,0.00001062425,0.00000509956,0.0000130436,0.00006591582,0.00001646273,0.0002928342,0.9971663,0.001472231],"study_design_scores_gemma":[0.00009379943,0.00001212615,0.01272565,0.0004801892,0.00002986165,0.00002615612,0.0002129807,0.0002018581,0.0001377002,0.0006746164,0.9853761,0.00002893137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005320474,0.00002672332,0.00002871966,0.0000477688,0.0000306696,0.000008462129,0.9991221,0.00004101287,0.000641364],"genre_scores_gemma":[0.0004058085,0.00008673936,0.0001911188,0.00005956372,0.00001708723,0.0001068406,0.9976037,0.0000559654,0.001473223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1856141,"threshold_uncertainty_score":0.3690674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0486271951510234,"score_gpt":0.3081556545213375,"score_spread":0.2595284593703141,"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."}}