{"id":"W6901543371","doi":"10.6068/dp1529e2e9bcb29","title":"Trend 2002 - 2015. United States Census Bureau. US Trade by Commodity Group: Imports | Country: Mexico | Consumer Item: Beverages, Spirits And Vinegar, 2002-2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-035-003.","year":2016,"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); CONQUEST","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":[0.0010819,0.001628752,0.001518631,0.003823855,0.0007508759,0.002199228,0.002224125,0.001005402,0.07507688],"category_scores_gemma":[0.009970439,0.001032055,0.001138475,0.01604399,0.0002531127,0.002753577,0.001572366,0.002076997,0.08235139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002360312,"about_ca_system_score_gemma":0.004570273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1798449,"about_ca_topic_score_gemma":0.1135948,"domain_scores_codex":[0.9986412,0.0001556213,0.0002387366,0.0003210362,0.0004407619,0.0002027681],"domain_scores_gemma":[0.9939706,0.0004601371,0.0005815329,0.0004521254,0.004269475,0.0002661292],"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":[0.00001971115,0.000008360614,0.0009463346,0.000225862,0.00001458644,0.000005382791,0.00001430963,0.00006840704,0.00001823682,0.0003033306,0.9968785,0.001497072],"study_design_scores_gemma":[0.0001287684,0.0000161337,0.01846197,0.0005214833,0.00004401219,0.00002842709,0.0002323086,0.0002288089,0.0001636613,0.0006714798,0.9794716,0.00003142118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007033705,0.00002948685,0.00003026226,0.00005674673,0.00003201061,0.00001041255,0.9991614,0.00004330019,0.000566069],"genre_scores_gemma":[0.0004688178,0.00009395735,0.0002187129,0.00006531914,0.00001982009,0.0001306834,0.9976427,0.00005501094,0.001304931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1798449,"threshold_uncertainty_score":0.3575961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529573624100341,"score_gpt":0.295147249240747,"score_spread":0.2598515129997436,"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."}}