{"id":"W6939340187","doi":"10.6068/dp14ba8fbff4b57","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Information and Communications Technology - Business and Government Internet Use | Country: Canada | Table: Survey of electronic commerce and technology, barriers to electronic commerce, by North American Industry Classification System (NAICS) | Variable: Users of Internet who do not use electronic commerce, Information and cultural industries, Goods do not lend themselves to Internet transactions | Units: %, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-125.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Business statistics; Government (linguistics); Official statistics; Economic statistics; Information and Communications Technology; Information technology; Telephone number; Descriptive 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":[0.001965878,0.002392169,0.002684616,0.009966533,0.003481935,0.004585579,0.005124118,0.001491673,0.06079069],"category_scores_gemma":[0.01749681,0.001582109,0.002171611,0.04501018,0.0006295945,0.002502108,0.002401121,0.003199561,0.04004887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04874748,"about_ca_system_score_gemma":0.139424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941751,"about_ca_topic_score_gemma":0.992951,"domain_scores_codex":[0.9957366,0.0002377416,0.0004514001,0.0004893496,0.002115646,0.0009692658],"domain_scores_gemma":[0.9625169,0.001123595,0.001216669,0.0008547801,0.03262044,0.001667607],"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":[0.0000223588,0.000008443023,0.001513007,0.0002507141,0.00002090488,0.000006293823,0.00002298815,0.0001020209,0.000007641607,0.0003440295,0.9962314,0.001470153],"study_design_scores_gemma":[0.0001661112,0.00001910848,0.04557255,0.001015534,0.0000945826,0.00003192191,0.0008010358,0.0006255342,0.0002143086,0.0006190167,0.9507386,0.0001017491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007607326,0.00004858276,0.00001981575,0.0001180702,0.00002907496,0.0000147062,0.9989797,0.0000432581,0.0006707541],"genre_scores_gemma":[0.0008431254,0.0002478315,0.0002629319,0.000127593,0.0000196488,0.000103702,0.9948782,0.00006014327,0.003456777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06079069,"threshold_uncertainty_score":0.3536894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931197499994482,"score_gpt":0.2214819064673109,"score_spread":0.202169931467366,"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."}}