{"id":"W6920209202","doi":"10.6068/dp14ba89d74fe13","title":"Most Recent Data (2012). Statistics Canada. CANSIM: Information and Communications Technology - Business and Government Internet Use | Country: Canada | Table: Survey of digital technology and Internet use, website features, by North American Industry Classification System (NAICS) and size of enterprise | Variable: Secure website, Transportation and warehousing, Medium size enterprises | Units: %, 2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-125.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business statistics; Official statistics; The Internet; Economic statistics; Government (linguistics); Information and Communications Technology; Descriptive statistics; Census; Information technology","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":[0.002149693,0.002568251,0.002976798,0.009431432,0.003845347,0.005676732,0.005331103,0.001728105,0.08499783],"category_scores_gemma":[0.02233706,0.001621208,0.002265053,0.05128023,0.0007434941,0.002755654,0.002703698,0.003418121,0.05812556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05179076,"about_ca_system_score_gemma":0.1372913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927825,"about_ca_topic_score_gemma":0.9909825,"domain_scores_codex":[0.9946291,0.0002854655,0.0005481018,0.0005902394,0.002738437,0.001208609],"domain_scores_gemma":[0.9444761,0.001912022,0.001368491,0.00122609,0.04892724,0.002090052],"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":[0.00001978047,0.000007547138,0.0009567423,0.0002520113,0.00001686769,0.00000535238,0.0000188221,0.00008924345,0.000007408027,0.0002188072,0.9973018,0.00110558],"study_design_scores_gemma":[0.0001955101,0.00001457658,0.03238264,0.001043676,0.00008689919,0.00002396997,0.000718444,0.0004144977,0.0002062896,0.0005347303,0.9642782,0.0001006862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004343717,0.00003443997,0.00001264208,0.0001009301,0.00001893703,0.00001076429,0.9991831,0.00003616396,0.0005596341],"genre_scores_gemma":[0.0006156349,0.0001976822,0.000233446,0.0001335602,0.00001666521,0.000109256,0.9957088,0.00006624189,0.002918656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08499783,"threshold_uncertainty_score":0.37577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000730635164335,"score_gpt":0.2297420587713853,"score_spread":0.2097347524197419,"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."}}