{"id":"W6920392264","doi":"10.6068/dp1582b25327a16","title":"TREND: International Monetary Fund. Direction of Trade Statistics: Exports | Country: Canada | Trading Partner: UNITED STATES, 1960/1 - 2015/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-002-001","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; Value (mathematics); Balance of payments; Frontier; CONQUEST; Exchange rate; Order (exchange); Payment; Point (geometry)","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":[0.001464755,0.002649789,0.00246699,0.01057778,0.00201342,0.00589017,0.003967258,0.00139634,0.1194367],"category_scores_gemma":[0.0120711,0.001290747,0.001270225,0.03110312,0.0006606968,0.00358134,0.002063462,0.003922339,0.1585309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01151718,"about_ca_system_score_gemma":0.02953734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7907965,"about_ca_topic_score_gemma":0.7321994,"domain_scores_codex":[0.9972994,0.0001285594,0.0002896471,0.0004747867,0.001327397,0.0004803201],"domain_scores_gemma":[0.9826019,0.0006810779,0.001224988,0.001016363,0.01364296,0.0008326724],"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":[0.00001076552,0.000003384345,0.0002880975,0.00009483998,0.000007689313,0.000003389377,0.000005339943,0.00004514547,0.000005824237,0.0002428322,0.998311,0.0009815784],"study_design_scores_gemma":[0.00005632795,0.000005202262,0.005900856,0.0002466294,0.00001618936,0.00001028261,0.00008663701,0.0001180247,0.00008899165,0.0004717132,0.9929708,0.00002848343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002421515,0.00003247519,0.00001811313,0.00006537005,0.00003471734,0.000009401771,0.9986993,0.00007946332,0.001036981],"genre_scores_gemma":[0.0002170649,0.0001177439,0.0001171485,0.00003951244,0.00002164761,0.00005597457,0.9970767,0.00008504812,0.002269132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2092035,"threshold_uncertainty_score":0.420871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544848637022368,"score_gpt":0.2805786941022985,"score_spread":0.2551302077320748,"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."}}