{"id":"W2407823447","doi":"","title":"Case study: automation's impact on productivity and turnaround time.","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"St Mary's Hospital Centre","funders":"","keywords":"Turnaround time; Productivity; Automation; Business; Operations management; Computer science; Engineering; Economics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001450436,0.0003325688,0.0002098513,0.001088416,0.001261333,0.001058078,0.000669199,0.001208207,0.006439347],"category_scores_gemma":[0.009221368,0.0001121747,0.0003646738,0.001528985,0.0004876853,0.0005988822,0.0004494808,0.0006774421,0.0008396163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008177466,"about_ca_system_score_gemma":0.0007906917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325547,"about_ca_topic_score_gemma":0.003993518,"domain_scores_codex":[0.9986334,0.0005365634,0.00007875602,0.0001144144,0.0003956151,0.0002411479],"domain_scores_gemma":[0.9816543,0.01457798,0.001110136,0.0006898761,0.001249163,0.0007184877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008776867,0.01025064,0.2398158,0.003006943,0.0003292906,0.04535319,0.0153454,0.0523897,0.03792869,0.01805611,0.05484685,0.5139005],"study_design_scores_gemma":[0.00133426,0.0184285,0.5240343,0.0006029437,0.0009265203,0.036212,0.02718287,0.1028303,0.114078,0.01757289,0.1562717,0.0005257599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969877,0.0009157139,0.003472686,0.001269463,0.0001606001,0.0001476059,0.0005003332,0.000268981,0.02338757],"genre_scores_gemma":[0.9963794,0.0002375138,0.00151343,0.00006670516,0.00004163322,0.00002920304,0.0001178268,0.00001622686,0.001597969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006439347,"threshold_uncertainty_score":0.02154177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03626173353581999,"score_gpt":0.2136238989360548,"score_spread":0.1773621654002348,"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."}}