{"id":"W1561634609","doi":"","title":"How does profitability get affected by working capital management in food and beverages industry","year":2013,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Working capital; Profitability index; Index (typography); Cash conversion cycle; Leverage (statistics); Business; Free cash flow; Economics; Cash flow; Finance; Operating cash flow; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004277364,0.0006484988,0.0008005232,0.0005907924,0.000428119,0.0002926631,0.001228023,0.0005882244,0.00009639353],"category_scores_gemma":[0.0000648346,0.0006705821,0.0002672432,0.0003910055,0.0007238586,0.0008026576,0.004616708,0.002051122,0.0000132111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757883,"about_ca_system_score_gemma":0.00006377965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003907104,"about_ca_topic_score_gemma":0.00372367,"domain_scores_codex":[0.9971755,0.00009173456,0.0003735794,0.001108989,0.0005516028,0.0006985756],"domain_scores_gemma":[0.9983165,0.00008208593,0.0005840514,0.000802159,0.000140808,0.00007443308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002706642,0.00531165,0.560873,0.02523629,0.003393095,0.001107313,0.04180443,0.0004209629,0.00229628,0.03611479,0.02321008,0.2975254],"study_design_scores_gemma":[0.004841853,0.0002400162,0.8431626,0.004304268,0.0004905866,0.00001165217,0.03298138,0.009021088,0.00006922892,0.02967529,0.07180509,0.003396941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850684,0.0007934969,0.00004548995,0.001537084,0.0003132703,0.001185366,0.0001454272,0.0001258359,0.01078566],"genre_scores_gemma":[0.9950377,0.0006835506,0.001062453,0.0001272205,0.0002265614,0.00001056306,0.0003291254,0.0000536074,0.002469213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2941285,"threshold_uncertainty_score":0.9995745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071187038954878,"score_gpt":0.1733351311792684,"score_spread":0.1626232607897196,"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."}}