{"id":"W4315702079","doi":"10.1787/49b866bc-en","title":"Simplified non-financial accounts for households and NPISH: Canada","year":2023,"lang":"en","type":"other","venue":"National accounts of OECD countries","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Business; Finance; Geography","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":[0.0009869772,0.001345035,0.0006093531,0.007616851,0.002634364,0.003871661,0.002176077,0.001197302,0.1591431],"category_scores_gemma":[0.007251211,0.0008107592,0.0006822889,0.01512617,0.0003813201,0.001752918,0.000926353,0.001529903,0.05702588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03038438,"about_ca_system_score_gemma":0.07988917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9748112,"about_ca_topic_score_gemma":0.9785311,"domain_scores_codex":[0.9978215,0.00008523007,0.0001084338,0.0001349262,0.001341041,0.0005088935],"domain_scores_gemma":[0.9886541,0.0003052549,0.0002597584,0.0003933811,0.01005283,0.0003347282],"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":[0.00003169979,0.00001697381,0.0009038111,0.0001063436,0.000005469885,0.00002028599,0.00006675241,0.0003846679,0.00006608448,0.005067603,0.977027,0.01630331],"study_design_scores_gemma":[0.00001855506,0.000004377634,0.01370149,0.00008844292,0.000008571588,0.0000303195,0.0001256347,0.0008659182,0.0003324135,0.0009020201,0.9838935,0.00002880202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002935478,0.0007711214,0.001184889,0.001285234,0.0005553904,0.0004767375,0.7139477,0.001895245,0.2769483],"genre_scores_gemma":[0.01688209,0.001336498,0.004560388,0.0004234259,0.0001364695,0.0004111859,0.3112507,0.0009817617,0.6640175],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1591431,"threshold_uncertainty_score":0.5323867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292307828184501,"score_gpt":0.2316091672595317,"score_spread":0.2186860889776867,"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."}}