{"id":"W6976614897","doi":"10.6068/dp14ba8eff52224","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, Management consulting services, 50% to 74% of revenues, Non-innovative 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; National accounts; Official statistics; 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":[0.002123358,0.002298125,0.002733744,0.01031466,0.0035526,0.005385804,0.004798324,0.001567113,0.09023464],"category_scores_gemma":[0.01976884,0.001624732,0.001898218,0.05787982,0.0007195947,0.002429335,0.002067201,0.003184436,0.05638458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06529279,"about_ca_system_score_gemma":0.148021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951147,"about_ca_topic_score_gemma":0.9931757,"domain_scores_codex":[0.9948559,0.0002710252,0.0005762862,0.0005713956,0.002610828,0.001114612],"domain_scores_gemma":[0.9557733,0.001586934,0.001202082,0.001089975,0.0388026,0.001545152],"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":[0.00001636235,0.000006046864,0.0007164955,0.000192981,0.00001426157,0.000005897096,0.00001694976,0.00009298733,0.000006608876,0.0002987443,0.997563,0.001069591],"study_design_scores_gemma":[0.0001228312,0.000009132113,0.02425903,0.0006615663,0.0000612587,0.00002143307,0.0005098896,0.0003981748,0.0001527042,0.0005325665,0.9731906,0.00008075999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004545206,0.00004402248,0.00001306382,0.0001040547,0.00002191072,0.00001069589,0.9988804,0.00003727929,0.0008431128],"genre_scores_gemma":[0.0008189561,0.0002757359,0.0002873822,0.0001440404,0.00001706766,0.0001010922,0.9941313,0.00007157658,0.004152827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09023464,"threshold_uncertainty_score":0.4737346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676262511473203,"score_gpt":0.2431431114919052,"score_spread":0.2063804863771732,"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."}}