{"id":"W6957672260","doi":"10.6068/dp156016799cf17","title":"TREND: United States Census Bureau. US International Trade in Goods and Services: Trade Balance - Total, 1992 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-022-001","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; Balance of trade; Goods and services; Product (mathematics); Balance of payments; Commodity; Government (linguistics); Balance (ability); 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":[0.001047425,0.001717767,0.001391292,0.005266455,0.0007372487,0.002260994,0.002438137,0.00106959,0.06585611],"category_scores_gemma":[0.009931062,0.000876481,0.001151875,0.01812796,0.0003196826,0.002597724,0.001457389,0.002640151,0.07212257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002363217,"about_ca_system_score_gemma":0.004653332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1091388,"about_ca_topic_score_gemma":0.07920001,"domain_scores_codex":[0.9983381,0.0001811197,0.0002874447,0.000395237,0.0005734911,0.0002245322],"domain_scores_gemma":[0.9929578,0.0006603383,0.0008931831,0.0005124608,0.004670942,0.0003051632],"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":[0.00001717108,0.00001033826,0.001076488,0.0002559874,0.00001705373,0.000006309224,0.00001550114,0.0001018494,0.00001577659,0.0003732093,0.9966672,0.001443224],"study_design_scores_gemma":[0.0001269777,0.00001353349,0.01492939,0.0005166804,0.00004312739,0.00002910225,0.0002375871,0.0002655812,0.0001101763,0.0009792851,0.9827173,0.00003119637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000757743,0.00003601399,0.00002906509,0.00004690834,0.00002197831,0.00001217458,0.9991952,0.00003437466,0.0005485378],"genre_scores_gemma":[0.0004414282,0.0001014131,0.0001649414,0.00005409745,0.0000179804,0.0001353704,0.9980751,0.00004398355,0.0009656741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1091388,"threshold_uncertainty_score":0.2203106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204485487873642,"score_gpt":0.2946721967423107,"score_spread":0.2726273418635742,"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."}}