{"id":"W6939049385","doi":"10.6068/dp16988567f7d26","title":"RANKING: United States Census Bureau. US International Trade in Goods and Services: Trade Balance - Total, 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-022-001","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; Balance of payments; Balance of trade; Product (mathematics); Goods and services; Commodity; Government (linguistics); Official statistics; Balance (ability)","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":[0.001254634,0.00170349,0.001601489,0.004787959,0.0007134951,0.002701665,0.002499948,0.001495794,0.1101056],"category_scores_gemma":[0.01019191,0.0007291791,0.001296934,0.01334211,0.0003752629,0.002143574,0.001836626,0.003001451,0.117171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757316,"about_ca_system_score_gemma":0.003250058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04250844,"about_ca_topic_score_gemma":0.03967917,"domain_scores_codex":[0.9987417,0.0001709534,0.0002207476,0.0003389725,0.0003274741,0.0002000979],"domain_scores_gemma":[0.9955908,0.000780068,0.0005789641,0.0005565895,0.002182093,0.0003114705],"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":[0.00001811365,0.000009210679,0.000527414,0.0002881911,0.00001676738,0.000005425938,0.00001014316,0.00009782438,0.00001538503,0.0003363773,0.9973516,0.001323498],"study_design_scores_gemma":[0.0002402392,0.00001413125,0.007019823,0.0005693029,0.00003982336,0.00002984951,0.0001332848,0.0003620032,0.0001100406,0.001859656,0.9895872,0.00003468275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004030702,0.00003676792,0.00002685967,0.00005401341,0.00001739371,0.000006768873,0.9994246,0.00005255713,0.0003407783],"genre_scores_gemma":[0.0003567639,0.0001140715,0.0001814936,0.00007351841,0.00001667153,0.0001173479,0.9983955,0.00006124594,0.0006833375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1101056,"threshold_uncertainty_score":0.36834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961699649380208,"score_gpt":0.2963427504404866,"score_spread":0.2567257539466845,"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."}}