{"id":"W6976860813","doi":"10.6068/dp14ba89cfbe861","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Business Performance and Ownership - Business Ownership | Country: Canada | Table: Corporations Returns Act (CRA), major financial variables | Variable: Total foreign and Canadian, Operating profits, Agriculture, forestry, fishing and hunting | Units: $CAD x 1,000,000, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-019.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Advanced optical system design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Multinational corporation; Business statistics; Census; Official statistics; Year-ending; Foreign ownership; Descriptive statistics; Summary 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006367684,0.001039146,0.001142901,0.0001496685,0.0004933311,0.0006726968,0.001026032,0.0007407647,0.0004613978],"category_scores_gemma":[0.0003642223,0.0009101767,2.562386e-7,0.0004720781,0.0002136353,0.000969357,0.0003998661,0.001057525,0.00000697234],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003860525,"about_ca_system_score_gemma":0.007918822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996162,"about_ca_topic_score_gemma":0.9995279,"domain_scores_codex":[0.9955296,0.0001903152,0.0009909781,0.001234661,0.0007830336,0.001271406],"domain_scores_gemma":[0.9963192,0.0006640289,0.0005028243,0.001325626,0.0002225139,0.0009657892],"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":[0.00002581488,0.00001162335,0.0002658561,0.001872461,0.0001494249,0.0002764271,0.000004143767,0.0009916216,0.000007064456,0.0007887277,0.9954493,0.0001575495],"study_design_scores_gemma":[0.0006514155,0.00003245825,0.000231638,0.0002246894,0.0003504835,0.0004680321,0.000150125,0.02533155,1.037293e-7,9.167791e-7,0.9713218,0.001236754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006268315,0.002848796,0.0001772402,0.000006186795,0.0006844795,0.0009930102,0.9926347,0.0001277612,0.002521525],"genre_scores_gemma":[0.0005044077,0.0006288254,0.001566422,0.00009687984,0.000581063,0.00005135517,0.9948215,0.0002916213,0.001457894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02433993,"threshold_uncertainty_score":0.9993349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992086460147517,"score_gpt":0.204228939926607,"score_spread":0.1843080753251318,"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."}}