{"id":"W6957963541","doi":"10.6068/dp14ba8f4b6c971","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Environment - Natural Resources | 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, Wireless telecommunications carriers (except satellite), 10% to 24% of revenues, Innovative business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-086.","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; Official statistics; Revenue; Natural resource; Summary statistics; Census; Descriptive statistics; Service (business)","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":[0.00218181,0.002398937,0.002760626,0.00905085,0.003712494,0.00504755,0.005068544,0.001565177,0.09268551],"category_scores_gemma":[0.01975265,0.001742818,0.002144777,0.05232361,0.0007282423,0.002437035,0.002254996,0.003155963,0.0522354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06701384,"about_ca_system_score_gemma":0.1698509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965229,"about_ca_topic_score_gemma":0.9951228,"domain_scores_codex":[0.9949636,0.0002809718,0.0005878495,0.0005622978,0.00248494,0.001120343],"domain_scores_gemma":[0.9529582,0.001673806,0.001183072,0.00107644,0.04127676,0.001831706],"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":[0.00001996878,0.00000766795,0.0009987266,0.0002456616,0.00001790162,0.000006332466,0.00001992444,0.0001058976,0.000007519487,0.0002883764,0.9970396,0.001242339],"study_design_scores_gemma":[0.0001794498,0.00001262455,0.03099786,0.0008905203,0.0000847196,0.00002444688,0.0006132392,0.0004542,0.0001832006,0.0005911778,0.9658735,0.00009503313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005057609,0.00004742013,0.00001484837,0.0001192579,0.00002206415,0.00001258083,0.9988021,0.00003994466,0.000891241],"genre_scores_gemma":[0.000995546,0.0003236037,0.0003596842,0.0001932263,0.00001745311,0.0001230417,0.9933436,0.00008924054,0.004554631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09268551,"threshold_uncertainty_score":0.4862217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678449902749187,"score_gpt":0.2514333000592083,"score_spread":0.2046488010317164,"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."}}