{"id":"W6920460754","doi":"10.6068/dp14ba7b9e3f440","title":"Trend 1926 - 1989. Statistics Canada. CANSIM: Economic Accounts - Income and Expenditure Accounts | Country: Canada | Table: Profits and other investment income, by industry | Variable: Agriculture (x 1,000,000) | Units: $CAD, 1926-1989. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-062.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; National accounts; National Income and Product Accounts; Summary statistics; Personal income; Investment (military); Official statistics; Wages and salaries; Gross domestic product; Measures of national income and output","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":[0.001636661,0.002090825,0.002037235,0.008306213,0.003027645,0.00441332,0.00393196,0.001220367,0.1219293],"category_scores_gemma":[0.01369147,0.001460332,0.001489484,0.03816694,0.0005366174,0.002482855,0.001973292,0.002694229,0.08282654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04613901,"about_ca_system_score_gemma":0.1080172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932314,"about_ca_topic_score_gemma":0.9908218,"domain_scores_codex":[0.9964335,0.0001886536,0.0003168411,0.0004607447,0.001779177,0.0008211252],"domain_scores_gemma":[0.97329,0.0007195686,0.0007924673,0.0007589562,0.02329628,0.001142779],"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":[0.00001408195,0.000004351262,0.0006767154,0.0001318766,0.00001108271,0.000005639921,0.00001537556,0.00007531716,0.0000078495,0.0004319241,0.9971256,0.001500209],"study_design_scores_gemma":[0.00006509056,0.000006511139,0.01609923,0.0004149877,0.00002989964,0.00001729013,0.000270738,0.0002970638,0.0001340826,0.0004618404,0.9821497,0.00005355404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005016408,0.00004610102,0.00002439424,0.0001117912,0.00002717974,0.00001279592,0.9981973,0.00006044961,0.001469961],"genre_scores_gemma":[0.0009040568,0.0002921385,0.0003749325,0.0001444602,0.00002022007,0.0001008801,0.9896835,0.0001299384,0.008349797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1219293,"threshold_uncertainty_score":0.4078941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967333554245565,"score_gpt":0.2408461318353906,"score_spread":0.2211727962929349,"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."}}