{"id":"W6939363505","doi":"10.6068/dp14ba88b7f8376","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: Keep pace with competitors, Textile mills, 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; Information and Communications Technology; Government (linguistics); Descriptive statistics; Information technology; Pace; 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":[0.00249255,0.002586492,0.002971043,0.009987389,0.004204122,0.005479202,0.005311994,0.001680642,0.09793883],"category_scores_gemma":[0.02305647,0.001799887,0.002301434,0.05236954,0.0006914762,0.002819555,0.002693787,0.003477659,0.05900534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06011041,"about_ca_system_score_gemma":0.1563061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947945,"about_ca_topic_score_gemma":0.9931169,"domain_scores_codex":[0.9937715,0.0003186768,0.0006290983,0.0006026553,0.003311036,0.001367062],"domain_scores_gemma":[0.9435598,0.001798392,0.001328538,0.001115332,0.04999239,0.002205594],"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":[0.00001875457,0.000008155876,0.0009253071,0.0002689574,0.00001510869,0.00000556124,0.00002181046,0.00008264131,0.00000749075,0.0002467491,0.9970253,0.001374158],"study_design_scores_gemma":[0.0001740772,0.00001599348,0.03652373,0.001056597,0.00008715935,0.00002414882,0.0007511177,0.0003805138,0.0001889082,0.000503214,0.9601915,0.0001029337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004964956,0.00004499619,0.0000172035,0.0001215511,0.00002491881,0.0000157534,0.998871,0.00004034968,0.0008145369],"genre_scores_gemma":[0.0008281502,0.0002989001,0.0003418733,0.0001798605,0.00002140339,0.0001558047,0.9933308,0.00009172002,0.004751569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09793883,"threshold_uncertainty_score":0.4361336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247621578318054,"score_gpt":0.2274563138743477,"score_spread":0.2049800980911672,"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."}}