{"id":"W6920264522","doi":"10.6068/dp14bad0218d051","title":"Trend 2002 - 2014. United States Census Bureau. US Trade by Commodity Group: Imports | Country: Serbia and Montenegro | Consumer Item: All Trade, 2002-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-035-003.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Montenegro; Commodity; Liberian dollar; Population; Value (mathematics)","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":[0.001207036,0.00180927,0.001737272,0.004401885,0.0007787017,0.002509036,0.00228036,0.001094408,0.07640748],"category_scores_gemma":[0.01095818,0.001185236,0.001297421,0.01730764,0.0002760573,0.002711452,0.001627751,0.002250847,0.09080941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214445,"about_ca_system_score_gemma":0.005310983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1692908,"about_ca_topic_score_gemma":0.1066265,"domain_scores_codex":[0.9984198,0.0001890402,0.0002718648,0.000360033,0.0005242332,0.000235096],"domain_scores_gemma":[0.9934617,0.0005279443,0.000571394,0.0005070064,0.00465714,0.0002747075],"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":[0.00001919008,0.000009484102,0.000883191,0.0002576371,0.00001568593,0.000006173712,0.00001427773,0.00008739535,0.00001894081,0.0003497296,0.9966853,0.001653017],"study_design_scores_gemma":[0.000123793,0.00001531273,0.01642217,0.000663401,0.00004116258,0.00003124623,0.0002322376,0.0002339637,0.0001522495,0.0007400257,0.981309,0.00003546883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006554863,0.00003490047,0.00003383131,0.00005066621,0.00003507277,0.00001199437,0.998978,0.00004878418,0.0007412613],"genre_scores_gemma":[0.0004771585,0.0001123363,0.0002556336,0.00007223609,0.00001860815,0.0001537219,0.9973803,0.0000705548,0.001459339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1692908,"threshold_uncertainty_score":0.3366107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05355199984922342,"score_gpt":0.2893110536870607,"score_spread":0.2357590538378373,"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."}}