{"id":"W6920670121","doi":"10.6068/dp15b0b54291269","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | WCO Harmonized Trade Num: 90 | Consumer Item: Optic, Photo Etc, Medic Or Surgical Instrments Etc, 2002 - 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-001","year":2017,"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; Value (mathematics); Documentation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001083316,0.001778573,0.001477896,0.005720936,0.0008567949,0.002520277,0.002382642,0.001014729,0.09491658],"category_scores_gemma":[0.01120149,0.0008990695,0.001166591,0.02138362,0.0003482178,0.003107498,0.00152994,0.002574904,0.1166235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178415,"about_ca_system_score_gemma":0.005328671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1159588,"about_ca_topic_score_gemma":0.08964407,"domain_scores_codex":[0.9983224,0.0002032925,0.0002996663,0.0004227039,0.0005439928,0.0002078437],"domain_scores_gemma":[0.9925296,0.0007295867,0.0008371669,0.0006272907,0.004969815,0.0003064918],"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":[0.00001389009,0.000006959553,0.0006819442,0.0002083006,0.00001295027,0.000005138156,0.00001380491,0.00006222024,0.0000137683,0.0003377465,0.9971113,0.001531973],"study_design_scores_gemma":[0.00008069624,0.00001031485,0.008471227,0.0005061018,0.00003380934,0.00002741938,0.000197,0.0001708459,0.00008858609,0.0008113335,0.9895763,0.00002634903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006097221,0.00003854851,0.00004452933,0.00006929209,0.00003639331,0.00001507278,0.9986954,0.00006200341,0.0009777652],"genre_scores_gemma":[0.0004735623,0.00016751,0.0002555824,0.00009929393,0.00002881934,0.0001845759,0.9970835,0.00009083907,0.001616348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9050834,"threshold_uncertainty_score":0.3175276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05289433048474031,"score_gpt":0.3105074811623783,"score_spread":0.257613150677638,"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."}}