{"id":"W6920316874","doi":"10.6068/dp14ba837c3ae52","title":"Trend 1982 - 2006. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Federal government business enterprise finance, balance sheet, as at the end of the fiscal year ending closest to December 31 | Variable: Minority interests, Other financial enterprises | Units: $CAD x 1,000, 1982-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-105.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Government (linguistics); Business statistics; Census; Official statistics; Goods and services; Politics; Fiscal year; Balance (ability)","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":[0.001822261,0.00244711,0.002584209,0.009519275,0.003796738,0.005186154,0.004846587,0.001491887,0.09397412],"category_scores_gemma":[0.0166462,0.001754849,0.001771954,0.04571277,0.0006497449,0.002665974,0.002207247,0.003061143,0.06730431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05353132,"about_ca_system_score_gemma":0.1361247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947367,"about_ca_topic_score_gemma":0.9936954,"domain_scores_codex":[0.995881,0.0002173777,0.0003862373,0.0005313485,0.001965413,0.001018799],"domain_scores_gemma":[0.9668531,0.001034164,0.001033377,0.001005634,0.02845739,0.001616294],"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":[0.00001788034,0.000005398863,0.000817005,0.0001647741,0.00001310183,0.000005995274,0.00001800247,0.00008442441,0.000008002658,0.0003511692,0.9971811,0.001333231],"study_design_scores_gemma":[0.00009909996,0.000009018745,0.01938244,0.0005822013,0.00004366522,0.0000206973,0.0003922665,0.0003563213,0.0001594447,0.000536306,0.978349,0.00006963535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004882533,0.00003966111,0.00001898145,0.00009949174,0.00002362848,0.00001030019,0.9988193,0.0000543477,0.0008854352],"genre_scores_gemma":[0.0007437838,0.0002227035,0.0002831777,0.0001095089,0.00001608883,0.00008479919,0.994109,0.00009467741,0.004336155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09397412,"threshold_uncertainty_score":0.3883987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184792594987489,"score_gpt":0.2291833804611041,"score_spread":0.2173354545112292,"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."}}