{"id":"W6957964685","doi":"10.6068/dp15ad7cac89210","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: South Carolina | WCO Harmonized Trade Num: 00 | Consumer Item: All Trade, 01/2002 - 11/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-002","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; State (computer science); Population; South carolina; 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":[0.001035214,0.001829433,0.001435274,0.005913619,0.0009346437,0.002624062,0.002479166,0.001066544,0.09885123],"category_scores_gemma":[0.009781003,0.0009243504,0.001094227,0.02146054,0.0003495512,0.002987231,0.001616204,0.00272891,0.1234973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324662,"about_ca_system_score_gemma":0.005834819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1495237,"about_ca_topic_score_gemma":0.1104615,"domain_scores_codex":[0.998348,0.0001807554,0.0002682893,0.0004089829,0.0005775763,0.0002164042],"domain_scores_gemma":[0.9920204,0.0007307269,0.000796331,0.0006918813,0.005418998,0.0003415068],"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":[0.00001145475,0.000007192041,0.0006154329,0.0001667738,0.00001119976,0.000004978879,0.00001424591,0.00006196371,0.0000143366,0.0003209218,0.9973214,0.001450144],"study_design_scores_gemma":[0.00006741272,0.000008837946,0.008371758,0.0004062506,0.00002806985,0.00002205515,0.0001887556,0.0001864942,0.00009465781,0.0007507165,0.989849,0.00002595549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005732902,0.00002862526,0.00004240663,0.00006388772,0.00003202483,0.00001450901,0.9986724,0.00006957084,0.001019352],"genre_scores_gemma":[0.0004146083,0.0001233589,0.0002295139,0.00008222309,0.00002293134,0.0001585508,0.9973221,0.00009157213,0.001555133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1495237,"threshold_uncertainty_score":0.3306903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361464498013055,"score_gpt":0.2868969103389313,"score_spread":0.2432822653588007,"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."}}