{"id":"W7135597843","doi":"","title":"Development of external trade price indices - 1st quarter of 2015","year":2013,"lang":"cs","type":"other","venue":"Digital Repository (National Repository of Grey Literature)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); External trade; Terms of trade; Price index; Oil price; World trade","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":[0.003080797,0.0006791849,0.0003887454,0.007828912,0.0003650551,0.002106693,0.0007327931,0.0004120447,0.01408305],"category_scores_gemma":[0.01066208,0.000328839,0.0004268548,0.01004964,0.0002075723,0.002102557,0.001685285,0.001047428,0.01106599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914652,"about_ca_system_score_gemma":0.006937268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0353388,"about_ca_topic_score_gemma":0.04094613,"domain_scores_codex":[0.9978538,0.0001768283,0.0003208862,0.000211521,0.001305424,0.0001315058],"domain_scores_gemma":[0.9913005,0.0003651685,0.0007390736,0.0003617681,0.006860015,0.0003734285],"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":[0.0001222882,0.0000893348,0.02717895,0.0007114866,0.00006538005,0.00006765161,0.0003431755,0.001051244,0.0007691346,0.01726058,0.7059152,0.2464256],"study_design_scores_gemma":[0.00001716499,0.00005997549,0.1575339,0.0006560675,0.00005591935,0.00008053169,0.000438684,0.001429293,0.00292568,0.002721967,0.8340475,0.00003332299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04405121,0.004234877,0.01290821,0.00433081,0.002135333,0.0006648287,0.6009219,0.003292852,0.32746],"genre_scores_gemma":[0.1348567,0.004543884,0.0455961,0.0006756103,0.0004331446,0.0006751459,0.6566332,0.001576623,0.1550096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0353388,"threshold_uncertainty_score":0.07026619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845140470489737,"score_gpt":0.2384446359137689,"score_spread":0.2295994954432792,"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."}}