{"id":"W6938721335","doi":"10.6068/dp14ba8ebc59e83","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Economic Accounts - Environmental and Resource Accounts | Country: Canada | Table: Survey of innovation, selected service industries, percentage of total revenues from the sale of products to the mining and/or forestry and/or forest products industries | Variable: Forestry and/or forest products industry, Cable and other program distribution, 25% to 49% of revenues, All business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-058.","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; Revenue; Official statistics; National accounts; Census; Summary statistics; Service (business); Economic data; Descriptive statistics; Unit (ring theory)","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":[0.002115834,0.002280121,0.002715558,0.01010447,0.00354249,0.005309074,0.004743952,0.001531371,0.09459556],"category_scores_gemma":[0.01944807,0.00163378,0.001866472,0.05725254,0.0007103182,0.00241678,0.002047983,0.003135636,0.05881825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06529949,"about_ca_system_score_gemma":0.1478317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951368,"about_ca_topic_score_gemma":0.9932584,"domain_scores_codex":[0.9949139,0.0002675881,0.0005698598,0.0005629165,0.002588126,0.001097489],"domain_scores_gemma":[0.9558714,0.001571425,0.001173339,0.001085607,0.03874728,0.001550984],"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":[0.00001610275,0.000006026364,0.0007004109,0.0001894946,0.00001360127,0.000005730126,0.00001698912,0.00008957255,0.000006567486,0.0002965459,0.9975718,0.001087195],"study_design_scores_gemma":[0.0001205121,0.00000899694,0.02410953,0.0006444567,0.00005896004,0.0000209505,0.0005042055,0.0003875573,0.0001520751,0.0005246233,0.9733884,0.00007974881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004551147,0.00004326151,0.00001364391,0.0001032746,0.00002186402,0.0000111027,0.9988201,0.00003950204,0.0009015669],"genre_scores_gemma":[0.0008360165,0.0002807217,0.0003039571,0.0001481981,0.00001710166,0.0001057802,0.9937317,0.00007719963,0.004499383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09459556,"threshold_uncertainty_score":0.4737832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445787876630629,"score_gpt":0.2521499616071037,"score_spread":0.2075711739440408,"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."}}