{"id":"W6976371717","doi":"10.6068/dp14ba7d4d49658","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | Country: Canada | Table: Survey of innovation, selected service industries, percentage of business units that used programs sponsored by the federal or provincial and/or territorial governments | Variable: Government information or Internet services, Did not use government program, Air transportation, All business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-127.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Government (linguistics); Business statistics; Census; The Internet; Information and Communications Technology; Information technology; Service (business)","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":[0.002775313,0.002484126,0.002842779,0.009979857,0.004301983,0.00526398,0.005357248,0.001606725,0.09341388],"category_scores_gemma":[0.02433191,0.001790689,0.002182029,0.05583948,0.0007302235,0.002474569,0.002266913,0.003449951,0.05531648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07094734,"about_ca_system_score_gemma":0.1826123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961056,"about_ca_topic_score_gemma":0.9944341,"domain_scores_codex":[0.9936553,0.0003502894,0.0006711661,0.0006513999,0.003341573,0.001330251],"domain_scores_gemma":[0.9414445,0.00201844,0.001366584,0.001268062,0.05168075,0.002221687],"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":[0.00002023606,0.000008308143,0.0009424489,0.0002432336,0.00001507753,0.000006103537,0.00002244448,0.00009339909,0.0000075942,0.0002937692,0.9968905,0.001456912],"study_design_scores_gemma":[0.000169943,0.00001397482,0.03339747,0.0008548673,0.00008072629,0.00002345602,0.000667659,0.0003645138,0.0001734392,0.0005527418,0.9636093,0.00009204192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000553528,0.00005132247,0.00001864515,0.0001311433,0.00002776236,0.00001622029,0.9986681,0.00004446726,0.0009870845],"genre_scores_gemma":[0.001018219,0.0003511962,0.0004710765,0.0002126644,0.00002154454,0.0001613391,0.9920894,0.0001047168,0.005569953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09341388,"threshold_uncertainty_score":0.5147614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256350583196498,"score_gpt":0.2497972232185415,"score_spread":0.2072337173865765,"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."}}