{"id":"W6920521062","doi":"10.6068/dp15666329e8924","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Imports | Country: United States | Trading Partner: CANADA, 1980/1 - 2015/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Database-ID: 056-002-004","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; CONQUEST; Payment; Value (mathematics); Exchange rate; Balance of payments; Position (finance); Port (circuit theory)","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":[0.00138328,0.003039384,0.002519186,0.01104249,0.001508089,0.006449976,0.003745527,0.001502653,0.1318903],"category_scores_gemma":[0.01004647,0.001336438,0.001041125,0.0328445,0.0005994173,0.004195366,0.001685972,0.003983477,0.2124825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020514,"about_ca_system_score_gemma":0.02382166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6553453,"about_ca_topic_score_gemma":0.4739017,"domain_scores_codex":[0.997016,0.0001066899,0.0003037742,0.0004507304,0.00168084,0.0004419763],"domain_scores_gemma":[0.98522,0.0005693111,0.001211159,0.000671261,0.01168333,0.0006450144],"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":[0.00001696744,0.000005026767,0.0002968169,0.00009576888,0.000006655117,0.000004201399,0.000005456139,0.00005027901,0.000008595542,0.0003148942,0.9974909,0.001704411],"study_design_scores_gemma":[0.0000481525,0.000007650184,0.006678345,0.0002091185,0.00001545197,0.00001021592,0.00008171566,0.000113207,0.0001198793,0.0004411747,0.9922501,0.00002494724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005337546,0.00007147584,0.00003644343,0.0001314926,0.00008295495,0.0000197434,0.9960056,0.0001625423,0.003436389],"genre_scores_gemma":[0.0004063152,0.0002816276,0.0001667277,0.00005974614,0.00004439499,0.00009291352,0.9923739,0.000168129,0.006406318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3446547,"threshold_uncertainty_score":0.6933689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526180180416011,"score_gpt":0.2843988193806022,"score_spread":0.2591370175764421,"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."}}