{"id":"W6901836696","doi":"10.6068/dp14ba806a96379","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Balance sheet and income statement of federal government business enterprises, by North American Industry Classification System (NAICS), end of fiscal year closest to December 31 | Variable: Inventories, Goods industries | Units: $CAD x 1,000, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-105.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic statistics; Balance sheet; Income statement; Official statistics; Census; Goods and services; Politics; Business statistics","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":[0.001935255,0.002437778,0.002619793,0.009128428,0.003586643,0.005279515,0.00526612,0.001513934,0.09091847],"category_scores_gemma":[0.01717932,0.001756353,0.001936733,0.04363684,0.0006190537,0.002821272,0.002329864,0.003095611,0.06422298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0508866,"about_ca_system_score_gemma":0.1330706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939092,"about_ca_topic_score_gemma":0.9925705,"domain_scores_codex":[0.9958276,0.0002357466,0.0004246091,0.0005299182,0.001988457,0.0009936878],"domain_scores_gemma":[0.9642558,0.001083518,0.001063078,0.00105417,0.03100413,0.001539357],"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":[0.00001947799,0.000005986084,0.0008562991,0.0001836218,0.00001532908,0.000006308554,0.00001736474,0.00008416735,0.00000801537,0.000346596,0.997016,0.00144091],"study_design_scores_gemma":[0.0001118082,0.00001034487,0.02166757,0.0007167583,0.0000555285,0.00002349676,0.0004350465,0.0004055056,0.0001718006,0.0006120909,0.9757154,0.00007460136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005326386,0.00004506232,0.00002192149,0.0001115984,0.00002563275,0.00001258179,0.9987699,0.00005442136,0.0009055188],"genre_scores_gemma":[0.0006562783,0.0002467411,0.0003044206,0.0001277101,0.0000167763,0.00009124295,0.9942138,0.0000946798,0.004248301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09091847,"threshold_uncertainty_score":0.3692099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806958664652907,"score_gpt":0.2331963658650301,"score_spread":0.2151267792185011,"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."}}