{"id":"W6920238633","doi":"10.6068/dp1627f1326da67","title":"Trend 2002 - 2017. United States Census Bureau. US Trade by Commodity Group: Imports | Country: Switzerland | Consumer Item: Coffee, Tea, Mate & Spices, 2002-2017. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-035-003.","year":2018,"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":[0.001097402,0.001812138,0.001543784,0.004187657,0.0007940521,0.002615972,0.002277614,0.001155909,0.1011973],"category_scores_gemma":[0.01129058,0.0009862769,0.001211662,0.01809938,0.0002795636,0.00324658,0.001744144,0.002279046,0.1379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216492,"about_ca_system_score_gemma":0.004877986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1479291,"about_ca_topic_score_gemma":0.1010522,"domain_scores_codex":[0.9984818,0.000173855,0.0002648642,0.0003372607,0.0005237675,0.0002185865],"domain_scores_gemma":[0.9932682,0.0005667727,0.0005667986,0.0005154993,0.004794726,0.0002879186],"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":[0.00001332249,0.000005969285,0.000516223,0.0001600085,0.000009109019,0.000004329807,0.00001036257,0.00005115516,0.00001284383,0.0002849757,0.9977362,0.001195501],"study_design_scores_gemma":[0.0001067301,0.00001146324,0.008814559,0.0004584961,0.00002796767,0.00002452233,0.000195296,0.0001817393,0.0001213726,0.0007967715,0.9892328,0.00002826403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004711654,0.00002578009,0.00003004152,0.00006277082,0.00003703916,0.000009104894,0.9990655,0.00004776505,0.0006749774],"genre_scores_gemma":[0.0003399753,0.00009275621,0.0001942902,0.0000765672,0.00002120636,0.0001282378,0.9975625,0.00007209161,0.001512385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1479291,"threshold_uncertainty_score":0.3385388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05314125113138619,"score_gpt":0.300591688846339,"score_spread":0.2474504377149528,"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."}}