{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835505,0.0001246571,0.0001225129,0.00008016615,0.0001503393,0.0002412404,0.00006719363,0.00002393085,0.00009363265],"category_scores_gemma":[0.0001298392,0.0000988476,0.00003096133,0.0002651421,0.00002483415,0.001011634,0.00005116186,0.00008370123,0.0001212867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003325822,"about_ca_system_score_gemma":0.000002318066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005666623,"about_ca_topic_score_gemma":0.00007518864,"domain_scores_codex":[0.9992677,0.0000100159,0.0001166134,0.0002397108,0.0001594642,0.0002064707],"domain_scores_gemma":[0.9995727,0.00002862865,0.0001459582,0.0001950497,0.0000434161,0.00001428036],"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":[0.00009213498,0.00186738,0.3090708,0.0001264763,0.0001234709,0.002980091,0.0003643742,0.0002264095,0.00001681451,0.0005426547,0.03415461,0.6504348],"study_design_scores_gemma":[0.0005077635,0.00001991438,0.9869362,0.00000530288,0.00003629417,0.0001333595,0.00004721083,0.003912914,0.000005300144,0.0003992186,0.007791222,0.0002053494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932572,0.00005592684,0.000003096805,0.0005873922,0.0001523375,0.0007029955,0.000002400667,0.0001050938,0.005133576],"genre_scores_gemma":[0.9977511,0.000001409176,0.000003225485,0.0001607195,0.0006229827,0.0001899451,0.000001189953,0.00001174056,0.001257742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6778654,"threshold_uncertainty_score":0.4030888,"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."}}