{"id":"W6976546681","doi":"10.6068/dp14ba8bd2aee58","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: Mobile-optimized site, Scenic and sightseeing transportation, 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":"Study and Philosophy of Religion","field":"Arts and Humanities","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; Census; Information technology; Descriptive statistics; Telephone number","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":[0.000212402,0.000390193,0.0006967045,0.0001104248,0.00009445513,0.0003581809,0.0007809837,0.0002748344,0.00004239626],"category_scores_gemma":[0.0001926339,0.0003644691,1.142496e-7,0.0002441459,0.0008963435,0.001018623,0.0006751509,0.0004995277,3.77665e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000833932,"about_ca_system_score_gemma":0.001165315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924022,"about_ca_topic_score_gemma":0.9903224,"domain_scores_codex":[0.9979368,0.0001404511,0.0007660444,0.0005348364,0.000384326,0.0002375815],"domain_scores_gemma":[0.9962435,0.0007040438,0.001018805,0.001507384,0.0003702159,0.0001559878],"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":[0.0001823522,0.00005493454,0.002665266,0.0005098235,0.0002995131,0.000007133048,0.00003385584,0.000001532453,9.785795e-7,0.0008021237,0.9951366,0.000305902],"study_design_scores_gemma":[0.0006886527,0.0001043591,0.0003860586,0.0001173397,0.000313225,0.00004933005,0.0008705993,0.001114486,2.717351e-8,1.972118e-7,0.9960216,0.0003341422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000306515,0.003609224,0.0000267856,0.00001568074,0.000106849,0.0006234473,0.9951411,0.00003392192,0.0001365056],"genre_scores_gemma":[0.01027668,0.007605333,0.0001188799,0.00005972181,0.00001562352,0.00001687033,0.9815963,0.00004639092,0.000264184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01354476,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791828123915689,"score_gpt":0.2224945304817355,"score_spread":0.1945762492425786,"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."}}