{"id":"W6939230566","doi":"10.6068/dp14ba8dc9b0682","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, Information and Communication Technology | Variable: By programming or building custom solutions, Arts, entertainment and recreation, 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; Economic statistics; Official statistics; Government (linguistics); Information and Communications Technology; Information technology; Descriptive statistics; Big data; 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":[0.002283465,0.002625864,0.002936827,0.009636528,0.004209493,0.005451642,0.005299456,0.001658326,0.09311513],"category_scores_gemma":[0.02247971,0.001747374,0.002296634,0.05248505,0.000709691,0.002759748,0.002669792,0.003437713,0.05552069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06069805,"about_ca_system_score_gemma":0.1575348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951722,"about_ca_topic_score_gemma":0.9934942,"domain_scores_codex":[0.9940323,0.0002905579,0.0005919021,0.0006006529,0.003154784,0.001329777],"domain_scores_gemma":[0.9458812,0.001685272,0.001257204,0.001118645,0.04793646,0.002121121],"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":[0.0000191258,0.00000777028,0.0009488848,0.0002581803,0.00001544761,0.000005513323,0.00002140018,0.00008471387,0.000007759704,0.000264385,0.997049,0.001317853],"study_design_scores_gemma":[0.0001752738,0.00001579784,0.0357783,0.001063199,0.00008787856,0.0000246426,0.0007879432,0.0004007251,0.0002078296,0.0005310485,0.9608228,0.000104601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004961169,0.00004310976,0.00001664647,0.0001182338,0.00002423967,0.00001416125,0.9989091,0.00004040721,0.0007845302],"genre_scores_gemma":[0.0008846313,0.0002979082,0.0003470865,0.0001874515,0.00002122986,0.0001490147,0.9933803,0.00009112718,0.004641121],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09311513,"threshold_uncertainty_score":0.4403972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651493008080784,"score_gpt":0.2572446390801718,"score_spread":0.2207297089993639,"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."}}