{"id":"W4241635131","doi":"10.1787/54193dbf-en","title":"Gross domestic product, expenditure approach: Canada","year":2020,"lang":"en","type":"other","venue":"National accounts of OECD countries","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Product (mathematics); Economics; Business; Agricultural economics; Mathematics; Macroeconomics","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":[0.0009772917,0.002357434,0.001108929,0.01097901,0.001931862,0.003663984,0.002085694,0.001442742,0.04282546],"category_scores_gemma":[0.004037847,0.0006432474,0.0009440954,0.0253983,0.0005995827,0.002324153,0.001358199,0.002734628,0.01611936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03901136,"about_ca_system_score_gemma":0.08694808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759852,"about_ca_topic_score_gemma":0.9766371,"domain_scores_codex":[0.9977296,0.0001072396,0.0001138007,0.0002238832,0.001390768,0.0004347778],"domain_scores_gemma":[0.995796,0.00008418405,0.0001781289,0.00007310432,0.003641867,0.0002267503],"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":[0.00002816899,0.00002763735,0.001460057,0.0003964393,0.00002497298,0.00003573828,0.00004976179,0.001063759,0.00003867551,0.02129603,0.950079,0.02549982],"study_design_scores_gemma":[0.00002006078,0.00001108556,0.01298297,0.0003207313,0.00003193917,0.00004417053,0.0001838853,0.001083998,0.0002176662,0.003131105,0.9819401,0.00003232695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002327741,0.00971616,0.002237969,0.005531694,0.001688264,0.0003207079,0.7429164,0.0008261051,0.2344349],"genre_scores_gemma":[0.04250365,0.02913597,0.008461483,0.001733766,0.0005719715,0.0009101685,0.3543384,0.000877982,0.5614666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04282546,"threshold_uncertainty_score":0.2830486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539590565841979,"score_gpt":0.2120227093657943,"score_spread":0.1766268037073745,"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."}}