{"id":"W6939154692","doi":"10.6068/dp14ba8c51f294","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, Non-store retailers, Large size 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business statistics; The Internet; Economic statistics; Official statistics; Government (linguistics); Descriptive statistics; Information and Communications Technology; 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":[0.002321175,0.002620295,0.002975956,0.01007609,0.004211769,0.005504273,0.005346696,0.00167957,0.09371935],"category_scores_gemma":[0.02306753,0.001783867,0.002327022,0.05394641,0.0007181279,0.002801369,0.002737954,0.003455654,0.05445171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06420349,"about_ca_system_score_gemma":0.1602777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950611,"about_ca_topic_score_gemma":0.993141,"domain_scores_codex":[0.9939268,0.0002947444,0.0006061754,0.0006061145,0.003232866,0.001333276],"domain_scores_gemma":[0.9417009,0.001800144,0.001351446,0.001178708,0.05180357,0.002165155],"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":[0.00002062391,0.000008155916,0.0009856502,0.0002841569,0.00001628374,0.000005689893,0.00002249092,0.000087398,0.00000794504,0.000265447,0.9968762,0.001420063],"study_design_scores_gemma":[0.0001705446,0.00001594671,0.03729615,0.001140552,0.00008921949,0.00002436809,0.0007949302,0.000390768,0.0002004242,0.0005309738,0.959238,0.0001081362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004928574,0.00004363656,0.00001641968,0.0001170275,0.00002449151,0.00001534526,0.9989073,0.00003994091,0.0007864059],"genre_scores_gemma":[0.000908803,0.000307038,0.0003555158,0.0001863655,0.00002133234,0.0001614371,0.9933324,0.0000908342,0.004636339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09371935,"threshold_uncertainty_score":0.4658311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381479229285288,"score_gpt":0.2257327195693429,"score_spread":0.2019179272764901,"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."}}