{"id":"W2112855066","doi":"10.5539/ijef.v6n10p259","title":"The Impact of Operational Efficiency on the Future Performance of Indian Manufacturing Firms","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Sample (material); Stock exchange; Operational efficiency; Stock (firearms); Industrial organization; Operational effectiveness; Finance; Operations management; Marketing; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003661227,0.00007034497,0.0001090636,0.00006705435,0.0001096231,0.00008126306,0.0003386094,0.00002396384,0.000007750369],"category_scores_gemma":[0.0000245444,0.00003794551,0.00008144109,0.00003458903,0.0000731432,0.0003193051,0.0000402533,0.0001078071,0.000003504806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001882485,"about_ca_system_score_gemma":0.00002484695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002567903,"about_ca_topic_score_gemma":0.000007895348,"domain_scores_codex":[0.9994766,0.000002948009,0.0003055463,0.00005789307,0.00007970973,0.00007728852],"domain_scores_gemma":[0.9991866,0.00005700687,0.0005485656,0.0000707419,0.000133209,0.00000384531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008575361,0.0002005561,0.04746056,0.00005105361,0.0001889291,0.000003183676,0.0003561364,0.2132405,0.000107518,0.5045602,0.001320456,0.2316534],"study_design_scores_gemma":[0.0009767946,0.0003406466,0.7824136,0.0002773817,0.00001229482,0.00003239533,0.00008848278,0.1356983,0.001754051,0.01270828,0.0654601,0.0002376796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968195,0.0001295181,0.000007842632,0.00118197,0.0006240401,0.00003439423,0.000002731172,7.952277e-7,0.001199197],"genre_scores_gemma":[0.9974219,0.001165215,0.00001553925,0.0001517254,0.001212341,8.268771e-7,0.000001010967,0.000004240686,0.00002716336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.734953,"threshold_uncertainty_score":0.1547373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005654426013009826,"score_gpt":0.1925942354075983,"score_spread":0.1869398093945885,"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."}}