{"id":"W6958115368","doi":"10.6068/dp14ba89ab9cd17","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, capital expenditures on types of Information and Communication Technologies | Variable: Finance and insurance, Medium size enterprises, Off-the-shelf software | 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":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business statistics; Economic statistics; The Internet; Official statistics; Descriptive statistics; Government (linguistics); Information and Communications Technology; Information technology; Publication; Census","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003533021,0.0002785946,0.0005406784,0.0001219959,0.0000566171,0.0001401983,0.001314721,0.0004416067,0.00003679574],"category_scores_gemma":[0.002953124,0.0002153076,6.500883e-8,0.0003866307,0.001478173,0.0008939513,0.003419709,0.000649479,7.106491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007985748,"about_ca_system_score_gemma":0.002326664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9686304,"about_ca_topic_score_gemma":0.9248049,"domain_scores_codex":[0.9981502,0.00008279844,0.0006424478,0.000322769,0.0005579464,0.000243813],"domain_scores_gemma":[0.9952869,0.001396984,0.0005545394,0.002299505,0.0003473875,0.0001146993],"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":[0.0001782187,0.00004650127,0.001306194,0.0005529291,0.0001245505,0.000004893762,0.000003747229,1.398901e-7,0.000002372816,0.0003727137,0.9909133,0.006494425],"study_design_scores_gemma":[0.0006923787,0.0001158521,0.0005797243,0.0001805101,0.00008297864,0.00009360753,0.0002831968,0.0005985395,5.808034e-7,0.000001777306,0.9971773,0.0001935339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007437737,0.00850099,0.00004350275,0.0001069503,0.00005334987,0.0004798719,0.9906377,0.00003533032,0.00006789524],"genre_scores_gemma":[0.00233038,0.03752894,0.0004000907,0.00008633764,0.000005130269,0.00001438477,0.959486,0.00002355408,0.0001251871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04382545,"threshold_uncertainty_score":0.8779991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381094542553924,"score_gpt":0.2514728844191768,"score_spread":0.2276619389936376,"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."}}