{"id":"W6957864315","doi":"10.6068/dp15add094f5945","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Virginia | 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":"Gynecological conditions and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Liberian dollar; Commodity; State (computer science); Population; Value (mathematics); Trade barrier","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":[0.0008915939,0.001805337,0.001384515,0.005630404,0.0009070081,0.002708522,0.00224155,0.001059599,0.09002618],"category_scores_gemma":[0.008792638,0.0008441975,0.001113125,0.0191318,0.0003330542,0.003051232,0.00150372,0.00247589,0.127886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961118,"about_ca_system_score_gemma":0.004426196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1020149,"about_ca_topic_score_gemma":0.08493961,"domain_scores_codex":[0.9985796,0.0001616552,0.0002225436,0.0003845959,0.0004699222,0.0001816791],"domain_scores_gemma":[0.9939387,0.0006230942,0.0006802157,0.0006201669,0.003872422,0.0002654332],"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":[0.00001158952,0.00000691621,0.0007191426,0.0001408035,0.0000108435,0.000005201605,0.00001218113,0.00007068286,0.0000150214,0.0003537358,0.9972883,0.001365604],"study_design_scores_gemma":[0.00006240139,0.000008060524,0.006985676,0.0003158456,0.00002156485,0.00002229918,0.0001656519,0.0002037289,0.00009511284,0.0008002257,0.9912968,0.0000226071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006464528,0.00002893143,0.0000427357,0.00005991571,0.00003418074,0.0000103215,0.9987244,0.00006734147,0.0009674226],"genre_scores_gemma":[0.0003850143,0.00009390843,0.0001834074,0.00006329746,0.00002002832,0.00009916512,0.9976816,0.0000707732,0.001402744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9099738,"threshold_uncertainty_score":0.3011675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819568926379763,"score_gpt":0.3035084967919268,"score_spread":0.2653128075281292,"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."}}