{"id":"W6901619517","doi":"10.6068/dp14ba8aacb4c90","title":"Trend 1972 - 1987. Statistics Canada. CANSIM: Business Performance and Ownership - Financial Statements and Performance | Country: Canada | Table: Financial statistics, detailed balance sheet and income and retained earnings, by industry based on the Standard Industrial Classification for establishments, 1960 (SIC) | Variable: Total current assets, Total agriculture, forestry, and fishing (x 1,000,000) | Units: $CAD, 1972-1987. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-022.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Income statement; Balance sheet; Descriptive statistics; Economic statistics; Revenue; Financial ratio; Debt; Financial statement; Total revenue; Financial analysis","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":[0.00184371,0.002361589,0.002565881,0.009321922,0.002994142,0.004622666,0.004730593,0.001308882,0.07954589],"category_scores_gemma":[0.01593794,0.001693225,0.001768941,0.04194068,0.000614161,0.002417299,0.002222586,0.003177257,0.0585636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04697345,"about_ca_system_score_gemma":0.1120451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992403,"about_ca_topic_score_gemma":0.9908408,"domain_scores_codex":[0.9954325,0.0002374642,0.0004701683,0.0005575262,0.002276941,0.001025459],"domain_scores_gemma":[0.9568403,0.00131239,0.001466447,0.001078872,0.03762681,0.00167526],"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":[0.00002322469,0.000008266458,0.001395997,0.0002158276,0.00001788239,0.000007219167,0.00001734773,0.0001112047,0.000009459084,0.0002792513,0.996299,0.001615342],"study_design_scores_gemma":[0.0001451654,0.00001442936,0.03778094,0.0007668465,0.00005650436,0.0000246428,0.0004203225,0.0005177989,0.0002001165,0.0005414493,0.9594528,0.00007900428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006581718,0.00004053874,0.00001956351,0.00008143886,0.00002160312,0.00001326336,0.9989336,0.00004598397,0.0007782466],"genre_scores_gemma":[0.0007160318,0.0001830133,0.0002250917,0.0000875612,0.00001472556,0.00008592004,0.9947805,0.00006438177,0.003842756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07954589,"threshold_uncertainty_score":0.3408179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240647653892544,"score_gpt":0.2491903828887604,"score_spread":0.2167839063498349,"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."}}