{"id":"W6901788320","doi":"10.6068/dp14ba8c33d161","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: Enterprise Resource Planning (ERP) software, Air 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":"","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; Descriptive statistics; Information technology; Social statistics; Summary 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":[0.002319385,0.002583774,0.002837498,0.009931006,0.004169736,0.005418397,0.005183238,0.001714641,0.09381132],"category_scores_gemma":[0.02280291,0.001734615,0.002291359,0.0526513,0.0006997355,0.002747759,0.002683308,0.003504166,0.05382395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0621626,"about_ca_system_score_gemma":0.159612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948709,"about_ca_topic_score_gemma":0.9930474,"domain_scores_codex":[0.9940934,0.0002902528,0.0005955021,0.0005795942,0.003149824,0.001291462],"domain_scores_gemma":[0.9422442,0.001808219,0.001299376,0.001107387,0.05138335,0.002157475],"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":[0.00001964339,0.000007921941,0.0009451774,0.0002834256,0.00001590049,0.000005642835,0.00002196413,0.0000876804,0.000007802068,0.0002528231,0.996953,0.001398949],"study_design_scores_gemma":[0.0001663242,0.00001507466,0.03536935,0.001142193,0.00008822566,0.0000231329,0.0007696659,0.0003753814,0.0001894096,0.000508638,0.9612493,0.0001034169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004972456,0.00004543078,0.00001660356,0.0001241657,0.0000256194,0.0000156825,0.9988832,0.00003997336,0.0007996434],"genre_scores_gemma":[0.0008822738,0.0003060316,0.0003494791,0.0001861306,0.00002137907,0.0001658792,0.993439,0.00008968974,0.004560153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09381132,"threshold_uncertainty_score":0.4510233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303488995132822,"score_gpt":0.2487671423120171,"score_spread":0.2184182427987349,"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."}}