{"id":"W6939679600","doi":"10.6068/dp14ba8bc016035","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Business Performance and Ownership - Business Cycles | Country: Canada | Table: Financial and taxation statistics for enterprises, by North American Industry Classification System (NAICS) | Variable: Working capital, Resin, synthetic rubber, and artificial and synthetic fibres and filaments manufacturing | Units: Ratio, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-018.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Business statistics; Business cycle; Official statistics; Summary statistics; Publication; Year-ending; National accounts","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":[0.001847941,0.002224574,0.002370384,0.01016981,0.00316684,0.005091727,0.004535322,0.001383276,0.06461605],"category_scores_gemma":[0.01652058,0.001581971,0.001965472,0.04441896,0.0005664221,0.002592414,0.002254585,0.002947048,0.04088738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05852167,"about_ca_system_score_gemma":0.133894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952111,"about_ca_topic_score_gemma":0.9936507,"domain_scores_codex":[0.9955319,0.000228413,0.0004323415,0.0004795631,0.002285403,0.001042342],"domain_scores_gemma":[0.9623089,0.001119896,0.001227176,0.0008753965,0.03296122,0.001507618],"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":[0.0000218508,0.000007923251,0.001592936,0.0002240545,0.00002241305,0.00000792641,0.00002345427,0.0001356687,0.000009453599,0.0004606121,0.9956964,0.001797248],"study_design_scores_gemma":[0.0001237191,0.00001311876,0.03661285,0.0007423609,0.00007080898,0.000028232,0.0005439789,0.0006380416,0.0002368482,0.0006165979,0.9602758,0.00009773009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007832111,0.00005600022,0.00002574329,0.0001229771,0.00002569894,0.0000148396,0.9987081,0.0000507393,0.0009176029],"genre_scores_gemma":[0.001014378,0.0003081039,0.0003459619,0.0001116657,0.0000179945,0.0001003126,0.9936242,0.0000848421,0.004392476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06461605,"threshold_uncertainty_score":0.4246064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334885411025833,"score_gpt":0.2113599714104598,"score_spread":0.1880111173002015,"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."}}