{"id":"W6957436828","doi":"10.6068/dp14ba891962936","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 Information and Communication Technology | Variable: Industry-specific software, Wholesale trade, Total, all 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; The Internet; Official statistics; Economic statistics; Government (linguistics); Information and Communications Technology; Information technology; Descriptive statistics; Census; Summary 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":[0.002451678,0.00256114,0.002960814,0.009849043,0.004221296,0.00530852,0.005237284,0.001653159,0.09777917],"category_scores_gemma":[0.02330773,0.001766633,0.002264491,0.05150903,0.0006828949,0.002767277,0.002681686,0.003517674,0.05809565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06017612,"about_ca_system_score_gemma":0.1566559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948193,"about_ca_topic_score_gemma":0.9931535,"domain_scores_codex":[0.9939407,0.0003130749,0.0005992085,0.0005946838,0.00321743,0.001334946],"domain_scores_gemma":[0.9435793,0.001777272,0.001300486,0.001124673,0.04998982,0.002228371],"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":[0.00001821275,0.000007622259,0.0008869956,0.0002490725,0.0000145298,0.000005271252,0.00002098829,0.00007957087,0.000006915423,0.0002437591,0.9971368,0.001330122],"study_design_scores_gemma":[0.000174419,0.00001581479,0.03644511,0.001065811,0.00008726786,0.00002452201,0.0007377139,0.0003774882,0.0001836974,0.0005259192,0.9602607,0.0001015299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000510478,0.00004581943,0.00001760259,0.0001248412,0.00002573075,0.00001568772,0.998853,0.00004123821,0.0008251274],"genre_scores_gemma":[0.0008582807,0.000297091,0.0003528141,0.000188446,0.00002229892,0.0001591701,0.9931452,0.00009300355,0.004883662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09777917,"threshold_uncertainty_score":0.4366103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423309654856162,"score_gpt":0.251370453565896,"score_spread":0.2071373570173344,"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."}}