{"id":"W6901589216","doi":"10.6068/dp14ba8b901ed14","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: Internet-enabled mobile device, Other information services, 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; Mobile telephony; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008533269,0.0006781924,0.001048486,0.0006759433,0.0000797969,0.0006487305,0.003418369,0.0008548932,0.0001717409],"category_scores_gemma":[0.0009747502,0.0006853164,1.220181e-7,0.001678117,0.0009797481,0.007613065,0.007875011,0.0008153112,0.00001970731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403343,"about_ca_system_score_gemma":0.004394355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961561,"about_ca_topic_score_gemma":0.9916066,"domain_scores_codex":[0.9960818,0.0002548411,0.001875746,0.0005437979,0.0007435535,0.0005003023],"domain_scores_gemma":[0.9896739,0.0006441344,0.002667,0.005292728,0.001507296,0.0002149897],"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":[0.000278794,0.000077309,0.001642806,0.001012243,0.0004477921,0.000002772266,0.00001593946,0.000008178925,0.000002904525,0.0009684892,0.9941905,0.001352272],"study_design_scores_gemma":[0.001126026,0.0001418086,0.00009255934,0.0002172665,0.0003101105,0.00021636,0.0007677756,0.01391004,2.710121e-7,9.15575e-7,0.9826381,0.0005787219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000623088,0.003518737,0.0001401301,0.00001582646,0.0001474414,0.00133992,0.9943552,0.0001206659,0.0002997847],"genre_scores_gemma":[0.0007892485,0.007734304,0.0009488623,0.0001698102,0.000006219176,0.0000432237,0.9900323,0.0001071402,0.0001689574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01390186,"threshold_uncertainty_score":0.9995598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735488381296314,"score_gpt":0.2489712499483467,"score_spread":0.2216163661353836,"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."}}