{"id":"W2756623336","doi":"10.1561/103.00000014","title":"New Information Technology Implementation and Workplace Productivity","year":2017,"lang":"en","type":"article","venue":"Data Envelopment Analysis Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Business; Information technology; Knowledge management; Computer science; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003366515,0.0002904337,0.0003274266,0.001080781,0.0003434604,0.002311023,0.0003643107,0.0005242837,0.002473059],"category_scores_gemma":[0.0203579,0.0001511413,0.0006089987,0.001828969,0.0004162893,0.001276375,0.001393208,0.001053147,0.0003665749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255469,"about_ca_system_score_gemma":0.001689232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005787925,"about_ca_topic_score_gemma":0.004551529,"domain_scores_codex":[0.9976307,0.0007191802,0.0002151342,0.0001919505,0.0008277587,0.00041532],"domain_scores_gemma":[0.9776466,0.01361633,0.004740045,0.0009452731,0.002288115,0.0007635016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004605272,0.002026133,0.7718421,0.000363563,0.0005333682,0.0003173933,0.002113381,0.0541081,0.003962076,0.01773877,0.0007819481,0.1457527],"study_design_scores_gemma":[0.00003609522,0.0008996009,0.9628662,0.0001591418,0.0001205702,0.00007619992,0.002446472,0.01626333,0.00421833,0.007707161,0.005151839,0.00005517149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985514,0.0007550215,0.006563864,0.000343692,0.00001799934,0.0000340375,0.0003116612,0.00002573,0.006433955],"genre_scores_gemma":[0.9971821,0.0002829354,0.001213314,0.00002932702,0.00001031789,0.0000194091,0.000195738,0.000004894474,0.001061966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005787925,"threshold_uncertainty_score":0.01780403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923389727457159,"score_gpt":0.2984496396294645,"score_spread":0.2792157423548929,"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."}}