{"id":"W6901577373","doi":"10.6068/dp14ba8b9005713","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Information and Communications Technology - Business and Government Internet Use | Country: Canada | Table: Survey of electronic commerce and technology, characteristics of Web sites, by North American Industry Classification System (NAICS) | Variable: Enterprises offering information about employment opportunities, Gasoline stations | Units: %, 2000. 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; Official statistics; Economic statistics; The Internet; Government (linguistics); Census; Telephone number; Information and Communications 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":[0.002106722,0.002494149,0.002789898,0.009478261,0.003709973,0.005195871,0.005339008,0.001661423,0.08263961],"category_scores_gemma":[0.01996057,0.001685353,0.001993596,0.05157693,0.0007223341,0.002556626,0.002452868,0.003355931,0.05944934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0503178,"about_ca_system_score_gemma":0.1318104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931256,"about_ca_topic_score_gemma":0.9910865,"domain_scores_codex":[0.9950275,0.0002642643,0.0005062977,0.0005657364,0.00251319,0.001122995],"domain_scores_gemma":[0.9543612,0.001628997,0.001236207,0.001096471,0.03975433,0.001922832],"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":[0.00001827104,0.000008426545,0.001033478,0.0002332543,0.00001547034,0.00000569794,0.00001902009,0.00009146958,0.000007133608,0.0002293142,0.9971653,0.001173129],"study_design_scores_gemma":[0.0001788123,0.00001483077,0.03541511,0.0008545936,0.00007654893,0.00002284766,0.0006550944,0.0003930109,0.0001856344,0.000505131,0.9616078,0.00009062314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004747284,0.00003286532,0.00001260635,0.00008286306,0.00001759483,0.00001093732,0.9991906,0.00003482294,0.0005701472],"genre_scores_gemma":[0.0006225611,0.0001827051,0.000221093,0.0001200891,0.00001418911,0.00009883734,0.9957883,0.00005713598,0.002894983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08263961,"threshold_uncertainty_score":0.3650829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04247969723492109,"score_gpt":0.248684938948152,"score_spread":0.2062052417132309,"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."}}