{"id":"W6920242907","doi":"10.6068/dp14ba8ab3cb438","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, type of Internet connection, by North American Industry Classification System (NAICS) and size of enterprise | Variable: Mobile wireless, Information and cultural industries, Large 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":"German Social Sciences and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Business statistics; Economic statistics; Official statistics; Government (linguistics); Information and Communications Technology; Information technology; Descriptive statistics; Census","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":[0.002198035,0.0025016,0.002984381,0.009373199,0.003910921,0.005452289,0.005390097,0.00171585,0.08840746],"category_scores_gemma":[0.02279049,0.001703572,0.002223553,0.05014884,0.0007234284,0.00272381,0.002639502,0.003566984,0.0561767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05138361,"about_ca_system_score_gemma":0.1395231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930573,"about_ca_topic_score_gemma":0.9914089,"domain_scores_codex":[0.9947426,0.0002919999,0.0005432272,0.0005733294,0.002683539,0.001165317],"domain_scores_gemma":[0.9473704,0.001889037,0.001293232,0.001182028,0.04621857,0.002046834],"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":[0.00001823569,0.000007465038,0.0008588865,0.00023551,0.00001577202,0.00000514591,0.00001773121,0.00008247028,0.000006620157,0.0002249868,0.997472,0.001055115],"study_design_scores_gemma":[0.0002041659,0.00001516526,0.03221832,0.001023856,0.00008833663,0.00002484848,0.000688221,0.0004085196,0.000189338,0.0005681303,0.9644724,0.00009870069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004333482,0.00003695639,0.00001331109,0.000105673,0.00002032684,0.00001168632,0.999156,0.00003580796,0.0005768831],"genre_scores_gemma":[0.0006383964,0.0002144755,0.0002474242,0.000147882,0.00001826961,0.0001175364,0.9953958,0.00006746704,0.003152722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08840746,"threshold_uncertainty_score":0.372816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877604838648853,"score_gpt":0.2528108140843887,"score_spread":0.2240347656979002,"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."}}