{"id":"W6958002323","doi":"10.6068/dp16c958063712","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Imports | WCO Harmonized Trade Num: 06 | Consumer Item: Live Trees, Plants, Bulbs Etc.; Cut Flowers Etc., 2002 - 2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-035-003","year":2019,"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); State (computer science); American Community Survey; 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":[0.001100901,0.001577385,0.001427833,0.004367735,0.0007970633,0.002278971,0.002562171,0.001267315,0.08617987],"category_scores_gemma":[0.01041749,0.0009032948,0.001137315,0.01518575,0.000365802,0.002626354,0.001609817,0.002722559,0.1088649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657519,"about_ca_system_score_gemma":0.00363179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06790305,"about_ca_topic_score_gemma":0.06007123,"domain_scores_codex":[0.9989342,0.0001537615,0.0001903085,0.0003022685,0.0002670015,0.0001525107],"domain_scores_gemma":[0.9954744,0.0006192507,0.0005627107,0.0005876724,0.002482447,0.0002734479],"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":[0.00001441004,0.000006686175,0.0005963062,0.0002090299,0.00001332064,0.000005558815,0.00001179272,0.00007234615,0.00001381828,0.0002714967,0.9977022,0.001083035],"study_design_scores_gemma":[0.0001404273,0.00001098049,0.007117189,0.0004719815,0.0000380401,0.00003542978,0.0001539142,0.0002483579,0.000100119,0.001145814,0.9905064,0.00003139216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004212386,0.00003066041,0.00003338662,0.00005381269,0.00002020524,0.000007407425,0.9993486,0.00005473079,0.0004090794],"genre_scores_gemma":[0.0003379403,0.00009938863,0.0001862169,0.00006527845,0.00001350904,0.0001266742,0.9983562,0.00006023306,0.0007544907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08617987,"threshold_uncertainty_score":0.2883005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417928712426975,"score_gpt":0.2738161376821867,"score_spread":0.2320232664394892,"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."}}