{"id":"W4200241205","doi":"10.1787/4447a73d-en","title":"Non-consolidated Flows, by instrument and by sector: Canada","year":2021,"lang":"en","type":"other","venue":"National accounts of OECD countries, Financial accounts","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Computer science","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":[0.001055451,0.0008974843,0.0005217288,0.006768882,0.003646995,0.006147664,0.001876126,0.001132556,0.06546835],"category_scores_gemma":[0.006782499,0.0006259757,0.0007015668,0.02549073,0.0008169058,0.001686118,0.001222065,0.001555143,0.00881198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07556947,"about_ca_system_score_gemma":0.1818535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972313,"about_ca_topic_score_gemma":0.9972446,"domain_scores_codex":[0.9977267,0.0000564838,0.00007364819,0.0001766155,0.001306352,0.0006602049],"domain_scores_gemma":[0.9916585,0.0004083678,0.0002830116,0.0002133851,0.006761897,0.0006747741],"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":[0.0000645097,0.0000345306,0.005989023,0.0001925452,0.00002674162,0.00004327516,0.000259735,0.0007279943,0.00006742639,0.0307151,0.9331592,0.02871998],"study_design_scores_gemma":[0.00004504301,0.00001015171,0.06155806,0.0002735069,0.00003966008,0.00004169418,0.0008415868,0.001836413,0.0005103372,0.003727395,0.9310514,0.00006478262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0134115,0.003644018,0.0007248195,0.007458694,0.0004480837,0.0002153984,0.5772352,0.0007587622,0.3961036],"genre_scores_gemma":[0.06647623,0.006832528,0.002204306,0.0008903231,0.000120263,0.0001615113,0.1297429,0.0005922121,0.7929797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07556947,"threshold_uncertainty_score":0.5482974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008113738366847393,"score_gpt":0.2377430640037926,"score_spread":0.2296293256369452,"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."}}