{"id":"W6901640165","doi":"10.6068/dp15ad7c8d7b091","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Massachusetts | 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; 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":[],"consensus_categories":[],"category_scores_codex":[0.001067201,0.001850813,0.001523346,0.006039084,0.0008795676,0.002515489,0.002446242,0.001065402,0.09999637],"category_scores_gemma":[0.01042576,0.0009869325,0.001126935,0.02114778,0.000342856,0.003167514,0.001596025,0.002653993,0.1220465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284877,"about_ca_system_score_gemma":0.00539983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1296163,"about_ca_topic_score_gemma":0.09127501,"domain_scores_codex":[0.9982831,0.00019988,0.0002887212,0.0004381271,0.0005775225,0.0002126437],"domain_scores_gemma":[0.9921416,0.0007190724,0.0008790116,0.0006689792,0.005247517,0.0003438268],"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":[0.00001230118,0.000007629627,0.0007001187,0.0001935738,0.00001290499,0.00000522718,0.0000160208,0.00006198542,0.00001527921,0.000364637,0.9970125,0.001597736],"study_design_scores_gemma":[0.00007320689,0.00001016769,0.009117807,0.000418819,0.00003190599,0.00002479888,0.0001801426,0.0001727864,0.00009301413,0.0007425277,0.9891094,0.0000253756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006039707,0.00003506318,0.00004949216,0.00006700652,0.00003387047,0.00001665529,0.9985858,0.00007253456,0.001079121],"genre_scores_gemma":[0.0004897906,0.0001545737,0.0002781964,0.00009626431,0.00002853378,0.0001962713,0.9969494,0.0001030518,0.001703989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1296163,"threshold_uncertainty_score":0.3345211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371064955170131,"score_gpt":0.2897749792523724,"score_spread":0.2460643297006711,"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."}}