{"id":"W6901570775","doi":"10.6068/dp14ba8f1212149","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, Environmental consulting servicesá, 75% to 100% of revenues, 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; Official statistics; National accounts; Census; Summary statistics; Service (business); Unit (ring theory); Economic data; Descriptive statistics","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":[0.002090833,0.002321118,0.002751691,0.01020724,0.003517215,0.005333935,0.00481556,0.001568766,0.09144006],"category_scores_gemma":[0.0197817,0.001640862,0.00189583,0.05747822,0.000730573,0.002446366,0.002070162,0.003196168,0.05671817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06410167,"about_ca_system_score_gemma":0.1440059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948471,"about_ca_topic_score_gemma":0.9928882,"domain_scores_codex":[0.9949324,0.0002720591,0.0005747388,0.0005748454,0.00255375,0.001092155],"domain_scores_gemma":[0.9568937,0.001617849,0.001212523,0.001089182,0.03765414,0.001532548],"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":[0.00001644479,0.000005920818,0.000702137,0.0001974127,0.00001424985,0.000005921089,0.00001675976,0.00009353598,0.000006578558,0.0002964468,0.9976045,0.001040117],"study_design_scores_gemma":[0.0001264899,0.000009041511,0.02350223,0.0006797995,0.00006107058,0.00002186236,0.0005010453,0.0003870397,0.0001497516,0.0005345166,0.9739473,0.0000797784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004298132,0.00004425713,0.00001230345,0.00009928687,0.00002055643,0.00001002659,0.9989474,0.00003477946,0.0007883475],"genre_scores_gemma":[0.000784488,0.0002744634,0.0002706712,0.000136834,0.00001682832,0.00009682932,0.9944571,0.00006810377,0.003894647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09144006,"threshold_uncertainty_score":0.4650923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213635566048114,"score_gpt":0.2429855903599829,"score_spread":0.2008492346995018,"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."}}