{"id":"W6976568521","doi":"10.6068/dp14ba90057e525","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of total revenue from the sale of products to selected industries | Variable: Sale of products to oil and gas extraction industry, Manufacturing and reproducing magnetic and optical media, 10% to 24% of revenues, Innovative plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-127.","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; Census; Summary statistics; Descriptive statistics; Information and Communications Technology; Information technology; Business 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":[0.002436285,0.002551159,0.002885723,0.009478436,0.003837539,0.005014781,0.005075744,0.001627096,0.08949248],"category_scores_gemma":[0.02266767,0.001672672,0.001998994,0.0517537,0.000721799,0.002479643,0.002202214,0.003223535,0.05338022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06072447,"about_ca_system_score_gemma":0.1571403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951279,"about_ca_topic_score_gemma":0.9932373,"domain_scores_codex":[0.9941595,0.0003272231,0.0006467754,0.0006176441,0.00297448,0.001274576],"domain_scores_gemma":[0.9480855,0.001848798,0.001318171,0.001117535,0.04563694,0.001993044],"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":[0.000017992,0.000007120159,0.0008372953,0.0002257748,0.00001438087,0.000005510003,0.00001730612,0.00009123029,0.000006895549,0.0002440611,0.9973263,0.001206126],"study_design_scores_gemma":[0.0001745856,0.00001441362,0.03129276,0.0009104728,0.00008015011,0.00002421385,0.0006060359,0.0003900591,0.0001703913,0.0005291904,0.9657189,0.00008885815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004878142,0.0000470335,0.00001492463,0.0001091493,0.0000233134,0.00001255381,0.9989588,0.00003880143,0.0007466643],"genre_scores_gemma":[0.0008055577,0.0002852636,0.0003238829,0.0001830979,0.00001904987,0.0001155345,0.9940555,0.00007495148,0.004137177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08949248,"threshold_uncertainty_score":0.4405889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370690830858734,"score_gpt":0.2568076620822239,"score_spread":0.2197385789963505,"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."}}