{"id":"W6976612714","doi":"10.6068/dp15add03d4ee10","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Hawaii | WCO Harmonized Trade Num: 85 | Consumer Item: Electric Machinery Etc; Sound Equip; Tv Equip; Pts, 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":[0.0009079666,0.00182351,0.00138806,0.005425554,0.0009008851,0.00256273,0.002323266,0.001037356,0.09158087],"category_scores_gemma":[0.008615592,0.0008371741,0.001112471,0.01879529,0.0003336183,0.003100989,0.001513263,0.002488762,0.1262232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961391,"about_ca_system_score_gemma":0.004591485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1095712,"about_ca_topic_score_gemma":0.09034224,"domain_scores_codex":[0.9986343,0.0001538632,0.0002163799,0.0003702627,0.0004485027,0.0001766575],"domain_scores_gemma":[0.9937829,0.0006018645,0.0006874538,0.0006269338,0.004021839,0.0002788951],"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":[0.00001177777,0.000007045825,0.0007423679,0.0001567262,0.00001156044,0.00000540931,0.00001336776,0.0000705689,0.00001582946,0.0003346692,0.9972657,0.001365087],"study_design_scores_gemma":[0.00006469004,0.000008428297,0.007531309,0.000325722,0.00002369695,0.00002218454,0.0001828808,0.0002068067,0.00009960796,0.000753411,0.9907574,0.00002380694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006183778,0.00002707947,0.00004005308,0.00005781031,0.00003285906,0.00001042497,0.9988071,0.00006493158,0.0008980149],"genre_scores_gemma":[0.0003689499,0.00008929986,0.0001745053,0.00006014442,0.00001901786,0.0001014034,0.9977543,0.00006634423,0.001366053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1095712,"threshold_uncertainty_score":0.3063685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992501417791575,"score_gpt":0.2938915459660251,"score_spread":0.2539665317881094,"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."}}