{"id":"W6957522880","doi":"10.6068/dp14ba8db3dca35","title":"Trend 2000 - 2007. Statistics Canada. CANSIM: Information and Communications Technology - Business and Government Internet Use | Country: Canada | Table: Survey of electronic commerce and technology, use of information and communication technologies, by North American Industry Classification System (NAICS) | Variable: Enterprises that are presently using it, Advertising, public relations, and related services, Intranet | Units: %, 2000-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-125.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business statistics; Official statistics; Economic statistics; The Internet; Government (linguistics); Information and Communications Technology; Descriptive statistics; Intranet; Information technology; Social 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":[0.00203605,0.002447951,0.002785137,0.01042207,0.003617345,0.004874377,0.005268778,0.001520707,0.0625657],"category_scores_gemma":[0.01846052,0.001651424,0.002163,0.04818066,0.0006592705,0.002535891,0.002503627,0.003285883,0.04244785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05043815,"about_ca_system_score_gemma":0.1450281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937953,"about_ca_topic_score_gemma":0.9924864,"domain_scores_codex":[0.9951907,0.0002657359,0.0005105466,0.0005431647,0.002421042,0.001068901],"domain_scores_gemma":[0.9581431,0.001293693,0.0012891,0.0009246884,0.03667852,0.001670869],"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":[0.00002080446,0.000007814979,0.001360671,0.0002528531,0.00002165952,0.000006419225,0.00002263793,0.00009435636,0.000007388159,0.0003257507,0.9965118,0.001367856],"study_design_scores_gemma":[0.0001632531,0.00001691741,0.04163541,0.001035546,0.00009681164,0.00002938669,0.0007826857,0.0005423615,0.0002063195,0.0006151626,0.9547787,0.00009743138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006887563,0.00004869706,0.00001884983,0.0001147725,0.00002735981,0.00001532457,0.9989857,0.00004050491,0.0006800325],"genre_scores_gemma":[0.0007785445,0.0002411647,0.0002484592,0.0001249938,0.00001875233,0.0001104743,0.995169,0.00006064346,0.003248014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0625657,"threshold_uncertainty_score":0.3659561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323949879921417,"score_gpt":0.233192183650609,"score_spread":0.2099526848513948,"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."}}