{"id":"W2917115051","doi":"","title":"What measures of productivity and effectiveness do technical communication managers track and report","year":2014,"lang":"en","type":"article","venue":"Technical Communication","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Productivity; Technical communication; Track (disk drive); Technical writing; Business; Computer science; Engineering; Economics; Higher education; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01474509,0.0006121338,0.0005292686,0.003537256,0.0005803102,0.005389984,0.00079323,0.00172833,0.003482607],"category_scores_gemma":[0.1307555,0.0003373788,0.0006936557,0.002627873,0.001237439,0.008046456,0.0006934283,0.0008811002,0.002184387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000991795,"about_ca_system_score_gemma":0.001383696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003066816,"about_ca_topic_score_gemma":0.002886697,"domain_scores_codex":[0.9906206,0.004421262,0.0008467591,0.001145457,0.002309566,0.0006564899],"domain_scores_gemma":[0.7632317,0.1298218,0.0679749,0.01278317,0.02054786,0.005640489],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004428691,0.0006940305,0.7706394,0.0003849769,0.0008587404,0.00005037764,0.00352294,0.003021566,0.002153369,0.00332782,0.005353923,0.2095501],"study_design_scores_gemma":[0.00008151933,0.001195217,0.9471012,0.0002879508,0.0006552896,0.0002046882,0.007465838,0.0149517,0.007341587,0.01051657,0.01001697,0.0001814951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302328,0.001662817,0.0190647,0.00439401,0.0002456821,0.0001123066,0.001131809,0.0005386359,0.04261732],"genre_scores_gemma":[0.9933964,0.0004165175,0.003214237,0.0002594925,0.0001614993,0.00003515974,0.0003557928,0.00006426142,0.002096509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9852549,"threshold_uncertainty_score":0.0779804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865072776943414,"score_gpt":0.2659258640077806,"score_spread":0.2372751362383464,"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."}}