{"id":"W6920511941","doi":"10.6068/dp14ba8a5fbb025","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, main benefits of Information and Communication Technology | Variable: Reduced transaction times, Couriers and messengers, 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; Information technology; Descriptive statistics; Database transaction","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":[0.002401573,0.00268529,0.002972543,0.01024412,0.004205298,0.005726735,0.005443791,0.001815705,0.09278286],"category_scores_gemma":[0.02424983,0.00180488,0.002459091,0.05248161,0.0007340435,0.002846103,0.002750069,0.003610441,0.05388154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0618058,"about_ca_system_score_gemma":0.1598002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949312,"about_ca_topic_score_gemma":0.9933683,"domain_scores_codex":[0.9939107,0.0002950352,0.0006228729,0.0005846178,0.003273958,0.001312842],"domain_scores_gemma":[0.9404137,0.001900452,0.001422088,0.001184659,0.05282131,0.002257742],"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":[0.00002126214,0.00000850675,0.001014044,0.0003068388,0.0000175424,0.000005720827,0.00002180134,0.00009205902,0.000008148952,0.0002594049,0.9968747,0.001370013],"study_design_scores_gemma":[0.0002013183,0.00001664279,0.03855407,0.001198817,0.00009690639,0.00002368203,0.0007510638,0.0004059963,0.0002036398,0.0005431394,0.957891,0.0001137822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0000489756,0.00004633885,0.00001558907,0.0001205754,0.00002449652,0.00001543348,0.9989634,0.00003905763,0.0007261615],"genre_scores_gemma":[0.0008503507,0.0003115041,0.0003307713,0.0001774095,0.00002167734,0.0001612678,0.993786,0.00008691702,0.004274077],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09278286,"threshold_uncertainty_score":0.4484345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483550035628047,"score_gpt":0.235411043872027,"score_spread":0.2105755435157466,"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."}}